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Price: EUR 150.00Authors: Kim, Heejun | Park, Chanhee | You, Joshua (Sung) H.
Article Type: Research Article
Abstract: BACKGROUND: Conventional hamstring (HAM) stretching therapeutic effects are not substantiable in neuromusculoskeletal conditions with HAM tightness or shortness. We developed a kinetic chain stabilization exercise to provide a more sustainable effectiveness in adults with HAM tightness. However, its therapeutic effects and underlying motor mechanisms remain unknown. OBJECTIVE: To compare the effects of traditional active HAM stretching (AHS) and kinetic chain stretching (KCS) on electromyographic (EMG) amplitude and hip flexion range of motion (ROM) in participants with HAM tightness. METHODS: In this randomized controlled trial, 18 participants (mean age: 25.01 ± …2.47 years) with HAM tightness were assigned to the AHS or KCS group. Hip joint movement, EMG amplitude, and onset times were recorded in the bilateral erector spinae, HAM, transverse abdominis/internal oblique (IO), external oblique (EO), and rectus abdominis during a straight leg raise test. RESULTS: Compared to AHS, KCS led to greater increase in the hip flexion ROM and EMG activation amplitudes in the left and right EO and left IO. Post-test hip flexion ROM data in both the groups were higher than the pre-test data. CONCLUSION: KCS produced more sustainable effectiveness in hip flexion movement and EMG motor control patterns in participants with HAM tightness than AHS. Show more
Keywords: Electromyography, hamstring, kinetic chain, muscle tightness, range of motion, stabilization exercise
DOI: 10.3233/THC-248014
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Zhang, Lian | Chen, Ninggang | Ye, Jingjing | Lin, Hangjuan
Article Type: Research Article
Abstract: BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease with a chronic course and a high recurrence. OBJECTIVE: Based on the theory of “prevention and recovery after ulceration”, the application value and significance of compound ginseng cicada decoction in the intervention of chronic disease management in patients with AD were retrospectively analyzed. METHODS: Through clinical retrospective observation, 60 patients with spleen deficiency and moisture type AD admitted to the outpatient clinic of our hospital after January 2019 were analyzed. After comprehensive treatment until the patient’s Investigator’s Global Assessment (IGA) Scale score is …lower than 2 points, the study group was divided into a research group and a control group, according to the actual clinical follow-up whether to take compound ginseng cicada soup. The control group carried out chronic disease management education, conventional emollient topical with no drug maintenance intervention, and the research group included clinical patients who were orally administered to compound ginseng cicada decoction for 1 month, observed for 3 months, and compared with the clinical recurrence (recurrence rate, time to first recurrence, severity at recurrence, degree of pruritus), and the quality of life. RESULTS: After 3 months, the relapse rate, recurrence severity, itching degree and quality of life impact scores of the study group were significantly lower than those of the control group, and there were no obvious adverse events. CONCLUSION: The combined application of compound ginseng cicada decoction in the management of chronic diseases in patients with atopic dermatitis has the positive significance of reducing AD recurrence, alleviating the severity of recurrence, and effectively improving the life quality of patients. This method has high safety and is worthy of wide application. Show more
Keywords: Compound ginseng cicada decoction, atopic dermatitis, slow disease management, prevention of the recrudescence of disease
DOI: 10.3233/THC-248009
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-8, 2024
Authors: Seo, Shinbae | Kwon, Taekyu | Shin, Miyeon | Jeong, Hochoon | Yu, Mi | Jeong, Jongkyun | Yu, Changho
Article Type: Research Article
Abstract: BACKGROUND: Sarcopenia is a disease that has recently become an issue, and research on various assessment methods is being conducted based on guidelines published for the diagnosis of sarcopenia. However, most assessments are complex because the inspector must measure each device to collect data, or the elderly must directly manipulate and get assessment. OBJECTIVE: In this study, we developed an sarcopenia assessment system to assess and analyze various sarcopenia in one system. METHODS: The system consists of a scaffold sensor for balance ability assessment, a chair sensor for assessing the walking and lower extremity function, and …a hand-held dynamometer for assessing grip strength. The balance pad consists of 326 FSR (Force Sensitive Resistor) sensors, and the accuracy is 10 kg/± 10%. The chair sensor applied four weight sensors (Loadcells) to the corner of the hip of the chair, and the accuracy is up to 150 kg ± 10%, and the resolution is 1 kg ± 10%. All data is transmitted to the software through a USB cable to assess sarcopenia through data analysis. The software has built a database to manage user-specific data. The assessment items consisted of “Short Physical Performance Battery (SPPB) Test” and “Hand Grip Strength Test.” After completion, the software automatically terminates the assessment results and classifies sarcopenia according to the presented reference value. RESULTS: The average value of the total SPPB test scores, including the balance test, gait speed test, and chair stand test, of all participants was 9.06 ± 1.97. The average values of the balance test, gait speed test, and chair stand test scores of all participants were 8.48 ± 2.80 sec (score 3.28 ± 1.23), 1.05 ± 0.26 m/sec (score 3.69 ± 0.79), and 16.05 ± 4.62 sec (score 2.08 ± 1.13). The average value of the hand grip test of all participants was 28.57 ± 2.94 kgf. CONCLUSIONS: A preliminary assessment was conducted on the elderly in their 60 s or older with the developed system, and its performance confirmed that the assessment and result analysis were conducted well without any errors in software or hardware. Future studies intend to verify the reliability and accuracy of the assessment results compared to the existing direct measurement methods. In addition, we would like to conduct a study to establish data on the muscle reduction index by age group of Koreans. Show more
Keywords: Sarcopenia, assessment system, preliminary test, rehabilitation, healthcare
DOI: 10.3233/THC-248039
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Lee, Heonzoo | Park, Rayoung | Kim, Sejin | Cho, Hyong-Ho | Won, Yonggwan
Article Type: Research Article
Abstract: BACKGROUND: The speech reception threshold (SRT), synonymous with the speech recognition threshold, denotes the minimum hearing level required for an individual to discern 50% of presented speech material. This threshold is measured independently in each ear with a repetitive up-down adjustment of stimulus level starting from the initial SRT value derived from pure tone thresholds (PTTs), measured via pure-tone audiometry (PTA). However, repetitive adjustments in the test contributes to increased fatigue for both patients and audiologists, compromising the reliability of the hearing tests. OBJECTIVE: Determining the first (initial) sound level closer to the finally determined SRT …value, is important to reduce the number of repetitions. The existing method to determine the initial sound level is to average the PTTs called pure tone average (PTAv). METHODS: We propose a novel method using a machine learning approach to estimate a more optimal initial sound level for the SRT test. Specifically, a convolutional neural network with 1-dimensional filters (1D CNN) was implemented to predict a superior initial level than the conventional methods. RESULTS: Our approach produced a reduction of 37.92% in the difference between the initial stimulus level and the final SRT value. CONCLUSIONS: This outcome substantiates that our approach can reduce the repetitions for finding the final SRT, and, as the result, the hearing test time can be reduced. Show more
Keywords: Hearing test, speech audiometry, pure tone threshold, speech reception threshold, convolutional neural network
DOI: 10.3233/THC-248017
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Li, Sujiao | Cai, Wenqian | Zhu, Pei | He, Wanying | Zheng, Jinyu | Fang, Fanfu | Yu, Hongliu
Article Type: Research Article
Abstract: BACKGROUND: Rehabilitation assessment is a critical component of rehabilitation treatment. OBJECTIVE: This study focuses on a comprehensive analysis of patients’ movement performance using the upper limb rehabilitation robot. It quantitatively assessed patients’ motor control ability and constructed an intelligent grading model of functional impairments. These findings contribute to a deeper understanding of patients’ motor ability and provide valuable insights for personalized rehabilitation interventions. METHODS: Patients at different Brunnstrom stages underwent rehabilitation training using the upper limb rehabilitation robot, and data on the distal movement positions of the patients’ upper limbs were collected. A …total of 22 assessment metrics related to movement efficiency, smoothness, and accuracy were extracted. The performance of these assessment metrics was measured using the Mann-Whitney U test and Pearson correlation analysis. Due to the issue of imbalanced sample categories, data augmentation was performed using the Synthetic Minority Over-sampling Technique (SMOTE) algorithm based on weighted sampling, and an intelligent grading model of functional impairment based on the Extreme Gradient Boosting Tree (XGBoost) algorithm was constructed. RESULTS: Sixteen assessment metrics were screened. These metrics were effectively normalized to their maximum values, enabling the derivation of quantitative assessment scores for motor control ability across the three dimensions through a weighted fusion approach. Notably, when applied to the data-enhanced dataset, the intelligent grading model exhibited remarkable improvement, achieving an accuracy rate exceeding 0.98. Moreover, significant enhancements were observed in terms of precision, recall, and f1-score. CONCLUSION: The research findings demonstrate that this study enables the quantitative assessment of patients’ motor control ability and intelligent grading of functional impairments, thereby contributing to the efficiency enhancement of clinical rehabilitation assessment. Moreover, this method resolves the issues associated with the subjectivity and prolonged periods of traditional rehabilitation assessment methods. Show more
Keywords: Stroke, robotic rehabilitation, kinematic parameters, intelligent assessment, Brunnstrom stages
DOI: 10.3233/THC-231076
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Zeng, Weijun | Xiao, Donggen | Chen, Ruitao | Lu, Yao | Liang, Weiguo | Sun, Haixuan
Article Type: Research Article
Abstract: BACKGROUND: High-quality control of the gas environment in incubators is crucial for in vitro embryo development, which requires high accuracy, fast recovery, and low gas consumption. OBJECTIVE: In this study, we propose a novel gas mixing and distribution system and method as an alternative solution for multi-chamber embryo incubators. METHODS: The system-based embryo incubator enables a controllable gas circulation process and a quantitative supply of CO2 and N2 . To determine the optimal parameters for the mixing time and flow rate of the circulated gases, we conducted contrast experiments on the …system-based incubator. To evaluate the performance of the gas system in the incubator, we conducted tests under four different initial conditions, simulating various practical application scenarios. Furthermore, we performed a mouse embryo assay to assess the system’s effectiveness. RESULTS: The results show that the system achieved a gas concentration accuracy of ± 0.2% (volume fraction) after stabilization, a minimum recovery time of 5 minutes, an average consumption of 8.9 L/d for N2 and 0.83 L/d for CO2 during routine operation, and a blastocyst rate exceeding 90% observed after 96 hours of culture in the incubator. CONCLUSION: The system and method demonstrate a significant advantage in terms of low gas consumption compared to existing incubators, while still maintaining high accuracy and fast recovery. Show more
Keywords: Gas mixing, gas distribution, concentration control, low gas consumption, embryo incubator
DOI: 10.3233/THC-248015
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Hong, Shichai | Chen, Yihui | Lin, Yue | Xie, Xinsheng | Chen, Gang | Xie, Hefu | Lu, Weifeng
Article Type: Research Article
Abstract: BACKGROUND: This study utilizes machine learning to analyze the recurrence risk of diabetic foot ulcers (DFUs) in elderly diabetic patients, aiming to enhance prevention and intervention efforts. OBJECTIVE: The goal is to construct accurate predictive models for assessing the recurrence risk of DFUs based on high-risk factors, such as age, blood sugar control, alcohol consumption, and smoking, in elderly diabetic patients. METHODS: Data from 138 elderly diabetic patients were collected, and after data cleaning, outlier screening, and feature integration, machine learning models were constructed. Support Vector Machine (SVM) was employed, achieving an accuracy …rate of 93%. RESULTS: Experimental results demonstrate the effectiveness of SVM in predicting the recurrence risk of DFUs in elderly diabetic patients, providing clinicians with a more accurate tool for assessment. CONCLUSIONS: The study highlights the significance of machine learning in managing foot ulcers in elderly diabetic patients, particularly in predicting recurrence risk. This approach facilitates timely intervention, reducing the likelihood of patient recurrence, and introduces computer-assisted medical strategies in elderly diabetes management. Show more
Keywords: Elderly diabetic patients, machine learning, diabetic foot ulcers, recurrence risk
DOI: 10.3233/THC-248023
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Yang, Fan | Sang, Pengzhi | Shen, Xiaojing | Yang, Sanjun | Meng, Yunchen | Hu, Huiming
Article Type: Research Article
Abstract: BACKGROUND: Physical activity (PA) holds profound implications for the holistic development of college students. However, students with chronic diseases or physical disabilities experience significantly limited PA during adaptive sports. OBJECTIVE: This study aims to investigate the relationship between physical activity and Functional Movement Screening (FMS) among university students who participate in the adaptive physical course. METHODS: 36 university students (from the adaptive physical course) completed the International Physical Activity Questionnaire-Long Form (IPAQ-L). Body measurements and FMS were assessed. Correlation analysis and t -tests were used to determine relationships and differences between …various indicators. A two-way analysis of variance was used to investigate potential variations in FMS scores based on gender and weight status. RESULTS: The results show that gender, PA, and BMI significantly influence FMS scores in students participating in adaptive physical courses. FMS score is significantly negatively correlated with BMI and significantly positively correlated with PA. The FMS score for males, as well as the scores for Trunk Stability Push-Up and Rotary Stability, are significantly higher than those for females. CONCLUSION: University students in adaptive physical courses can benefit from increased PA and FMS scores. Improving functional movement and enhancing physical activity are crucial for promoting overall health in this population. Show more
Keywords: Physical activity, functional movement screen, adaptive physical courses
DOI: 10.3233/THC-248012
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Namkoong, Seung | Roh, Hyolyun
Article Type: Review Article
Abstract: BACKGROUND: The dominant feature of Alzheimer’s dementia (AD) is gradual cognitive decline, which can be reflected by reduced finger dexterity. OBJECTIVE: This review analyzed reports on hand function in AD patients to determine the possibility of using it for an early diagnosis and for monitoring the disease progression of AD. METHODS: PubMed, Web of Science, EMBASE, and Cochrane library were searched systematically (search dates: 2000–2022), and relevant articles were cross-checked for related and relevant publications. RESULTS: Seventeen studies assessed the association of the handgrip strength or dexterity with cognitive performance. …The hand dexterity was strongly correlated with the cognitive function in all studies. In the hand dexterity test using the pegboard, there was little difference in the degree of decline in hand function between the healthy elderly (HE) group and the mild cognitive impairment (MCI) group. On the other hand, there was a difference in the hand function between the HE group and the AD group. In addition, the decline in hand dexterity is likely to develop from moderate to severe dementia. In complex hand movements, movement speed variations were greater in the AD than in the HE group, and the automaticity, regularity, and rhythm were reduced. CONCLUSIONS: HE and AD can be identified by a simple hand motion test using a pegboard. The data can be used to predict dementia progression from moderate dementia to severe dementia. An evaluation of complex hand movements can help predict the transition from MCI to AD and the progression from moderate to severe dementia. Show more
Keywords: Alzheimer’s dementia, hand function, hand dexterity, handgrip strength, cognitive impairment
DOI: 10.3233/THC-248022
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Park, Seonmi | You, Joshua (Sung) H.
Article Type: Research Article
Abstract: BACKGROUND: While the limited ankle dorsiflexion syndrome (ADS) is common in neuro-musculoskeletal conditions, the instrument-assisted mobilization focused on the shortened gastro-soleus myofascial structure (IMI) rather than the homologous structure (both gastrosoleus and tibiliais anterior muscles, HIM). OBJECTIVE: We aimed to compare the immediate therapeutic effects between IMH and IMI treatment groups on the ankle dorsiflexion angle, muscle activation and foot pressure distribution during dynamic gait in ADS. METHODS: Neuromechanical tests including kinematics (ankle mobility), kinetics (center of pressure distribution), and electromyography were used to determine the immediate therapeutic effects between HIM and IMI …treatment groups in 24 participants with ADS. RESULTS: The ankle joint angle analysis demonstrated a more improved active DF angle in the group who received HIM intervention when compared to the group who received IMI intervention. (11.26% and 3.58%, respectively) EMG analysis showed more decreased mean and peak TA activation amplitudes in the group who received HIM intervention (9.1% and 9%) when compared to the group who received IMI intervention (11.48% and 1.48%). Plantar pressure distribution analysis showed difference that the forefoot/area decreased in the group who received HIM intervention (8.1%), but rather increased in the group who received IMI intervention (14.3%). CONCLUSIONS: Our neuromechanical results demonstrated promising positive effects on ankle joint mobility, muscle activation and foot pressure distribution during gait in ADS. Show more
Keywords: Limited ankle dorsiflexion syndrome, instrument-assisted mobilization, electromyography
DOI: 10.3233/THC-248045
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-12, 2024
Authors: Zhao, Xingyu | Gai, Lulu | Wang, Liang | Xu, Lei
Article Type: Case Report
Abstract: BACKGROUND: Spleen Epstein-Barr Virus (EBV)-positive inflammatory follicular dendritic cell sarcoma (FDCS) is rare, and the imaging signs are unclear. The COVID-19 has been confirmed to be the cause of pneumonia and can cause a variety of diseases including myocarditis. However, it has not been reported to be the cause of the exacerbation or activation of EBV-positive inflammatory FDCS. OBJECTIVE: The objective is to extract the imaging features of EBV-positive inflammatory FDCS in the spleen and analyze the reasons for the special features of this case. METHODS: By analyzing the patient’s treatment process and …imaging examinations (A 77-year-old female was admitted to the hospital due to generalized discomfort and pain symptoms. When she was admitted to the hospital a year earlier with COVID-19 pneumonia, a chest CT scan showed that she had a splenic tumor. During this admission, CT scans showed two irregularly shaped and unevenly dense soft tissue density masses within the spleen, with uneven enhancement on contrast-enhanced im-aging within the solid components and along the edges. PET/CT scans revealed elevated glucose metabolism in the masses. Postoperative pathological diagnosis confirmed splenic EBV-positive inflammatory FDCS.), reading the literature, sorting out the disease cognitive process, epidemiology, and pathological data of EBV-positive inflammatory FDCS, we discussed the imaging manifestations and possible differential diagnosis of the disease. RESULTS: The patient was finally diagnosed with splenic EBV-positive inflammatory FDCS. CONCLUSIONS: Imaging features of EBV-positive inflammatory FDCS in the spleen include a high incidence of hemorrhage and necrosis, persistent moderate enhancement of the solid portion, a “capsular-like enhancement” structure at the tumor edge, and possibly active glucose metabolism with high Standardized Uptake Values (SUVs). COVID-19 infection and long-term COVID-19 sequelae may exacerbate and activate EBV-positive inflammatory FDCS in the spleen, and the mechanism remains to be further studied. Show more
Keywords: Splenic tumor, inflammatory follicular dendritic cell sarcoma, computed tomography, positron emission tomography/computed tomography
DOI: 10.3233/THC-248038
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Gai, Xinghui | Cai, Huifang | Wang, Junying | Li, Xinyue | Sui, Yan | Liu, Kang | Yang, Dewu
Article Type: Research Article
Abstract: BACKGROUND: Early diagnosis of knee osteoarthritis is an important area of research in the field of clinical medicine. Due to the complexity in the MRI imaging sequences and the diverse structure of cartilage, there are many challenges in the segmentation of knee bone and cartilage. Relevant studies have conducted semantic fusion processing through splicing or summing forms, which results in reduced resolution and the accumulation of redundant information. OBJECTIVE: This study was envisaged to construct an MRI image segmentation model to improve the diagnostic efficiency and accuracy of different grade knee osteoarthritis by adopting the Dual …Attention and Multi-scale Feature Fusion Segmentation network (DA-MFFSnet). METHODS: The feature information of different scales was fused through the Multi-scale Attention Downsample module to extract more accurate feature information, and the Global Attention Upsample module weighted lower-level feature information to reduce the loss of key information. RESULTS: The collected MRI knee images were screened and labeled, and the study results showed that the segmentation effect of DA-MFFSNet model was closer to that of the manually labeled images. The mean intersection over union, the dice similarity coefficient and the volumetric overlap error was 92.74%, 91.08% and 7.44%, respectively, and the accuracy of the differential diagnosis of knee osteoarthritis was 84.42%. CONCLUSIONS: The model exhibited better stability and classification effect. Our results indicated that the Dual Attention and Multi-scale Feature Fusion Segmentation model can improve the segmentation effect of MRI knee images in mild and medium knee osteoarthritis, thereby offering an important clinical value and improving the accuracy of the clinical diagnosis. Show more
Keywords: Coronary atherosclerosis, morphological processing, regional growth, auxiliary diagnosis, vascular stenosis
DOI: 10.3233/THC-248024
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Zhong, Fengxing | Yin, Xiuping | Liu, Xinxin | Zhang, Qiming
Article Type: Research Article
Abstract: BACKGROUND: Understanding how pharmaceutical formulas target specific illnesses is crucial for developing effective treatments. Enriching ion channel data is a critical first step in comprehending a formula’s mechanism of action. OBJECTIVE: This study aims to explore the effective disease spectrum of the Qi Yu granule formula through network pharmacology analysis and backtracking, and analyze its potential curative effects on liver and spleen system diseases, particularly depression and breast cancer. METHODS: Using pharmacological tools and database analysis, the ion channel data of the formula’s components were investigated. The effective disease spectrum was determined, and …diseases related to liver and gallbladder, liver depression, and spleen deficiency were identified. Network pharmacology analysis was conducted to backtrack diseases, target gene proteins, and drug compositions. The extraction technology of volatile oil from medicinal herbs was experimentally studied to optimize the preparation process. RESULTS: The effective disease spectrum analysis identified potential curative effects of the Qi Yu granule formula on various diseases, including breast cancer. Backtracking revealed relationships between diseases, target gene proteins, and drug compositions. Experimental studies on volatile oil extraction provided insights into optimizing the preparation process. CONCLUSION: The study underscores the potential therapeutic benefits of the Qi Yu granule formula for liver and spleen system diseases. By integrating network pharmacology analysis and experimental research, this study offers valuable insights into the formulation and efficacy of the Qi Yu granules, paving the way for further exploration and optimization of TCM formulations. Show more
Keywords: Qi Yu granules, liver stagnation, edible plants, network pharmacology, spleen deficiency syndrome
DOI: 10.3233/THC-232034
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024
Authors: Yu, Mi | Kang, Young-Soek | Hong, Hwa-Young | Hong, Chul-Un | Kwon, Tae-Kyu
Article Type: Research Article
Abstract: BACKGROUND: Elevator-type evacuation devices have proven to be feasible in high-rise buildings through studies on safety performance and evacuation time. However, there is a lack of research on safety using biosignal analysis in the elderly population. OBJECTIVE: A carbon material is used in this study to reduce the weight of an evacuation elevator. The impact on the human body is evaluated by conducting a satisfaction survey involving elderly and youth groups and quantitatively analyzing biological signals, including electromyography (EMG) and plantar pressure, during five repeated uses of the proposed device. METHODS: The study …involves 12 healthy adults in their 20s and 20 elderly individuals with no experience in using an evacuation elevator. The EMG and left and right plantar pressures are analyzed to evaluate the physical factors affected by repeated use. RESULTS: The experiment results showed that the normalization of EMG to maximum voluntary contraction showed a significant decrease with repeated use, especially in the right tibialis anterior muscle. Moreover, plantar pressure shows a significant difference, which decreased with repetition, and the left and right balance gradually tilted to the left. CONCLUSION: This suggests that with more repeated use, muscle tension decreases owing to adaptation, resulting in lower muscle activity and plantar pressure. Particularly, the tibialis anterior muscle experiences significant muscle activity, indicating increased load, but without any apparent danger. In the future, it will be necessary to evaluate elevators for disabled individuals. Show more
Keywords: Elevator-type evacuation device, fire, elderly, plantar pressure, electromyography (EMG)
DOI: 10.3233/THC-248010
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Yang, Cuiyun | Bian, Taicheng | Yang, Jin | Hou, Junyi | Cao, Yiliang | Han, Zhihui | Zhao, Xiaoyan | Wen, Weijun | Zhu, Xijun
Article Type: Research Article
Abstract: BACKGROUND: Plane-wave imaging is widely employed in medical imaging due to its ultra-fast imaging speed. However, the image quality is compromised. Existing techniques to enhance image quality tend to sacrifice the imaging frame rate. OBJECTIVE: The study aims to reconstruct high-quality plane-wave images while maintaining the imaging frame rate. METHODS: The proposed method utilizes a U-Net-based generator incorporating a multi-scale convolution module in the encoder to extract information at different levels. Additionally, a Dynamic Criss-Cross Attention (DCCA) mechanism is proposed in the decoder of the U-Net-based generator to extract both local and global …features of plane-wave images while avoiding interference caused by irrelevant regions. RESULTS: In the reconstruction of point targets, the experimental images achieved a reduction in Full Width at Half Maximum (FWHM) of 0.0499 mm, compared to the Coherent Plane-Wave Compounding (CPWC) method using 75-beam plane waves. For the reconstruction of cyst targets, the simulated image achieved a 3.78% improvement in Contrast Ratio (CR) compared to CPWC. CONCLUSIONS: The proposed model effectively addresses the issue of unclear lesion sites in plane-wave images. Show more
Keywords: Reconstruction, multi-scale convolution, dynamic criss-cross attention
DOI: 10.3233/THC-248026
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-14, 2024
Authors: Dou, Yifeng | Liu, Jiantao | Meng, Wentao | Zhang, Yingchao
Article Type: Research Article
Abstract: BACKGROUND: With the advent of artificial intelligence technology, machine learning algorithms have been widely used in the area of disease prediction. OBJECTIVE: Cardiovascular disease (CVD) seriously jeopardizes human health worldwide, thereby needing the establishment of an effective CVD prediction model that can be of great significance for controlling the risk of the disease and safeguarding the physical and mental health of the population. METHODS: Considering the UCI heart disease dataset as an example, initially, a single machine learning prediction model was constructed. Subsequently, six methods such as Pearson, chi-squared, RFE and LightGBM were …comprehensively used for the feature screening. On the basis of the base classifiers, Soft Voting fusion and Stacking fusion was carried out to build a prediction model for cardiovascular diseases, in order to realize an early warning and disease intervention for high-risk populations. To address the data imbalance problem, the SMOTE method was adopted to process the data set, and the prediction effect of the model was analyzed using multi-dimensional and multi-indicators. RESULTS: In the single classifier model, the MLP algorithm performed optimally on the preprocessed heart disease dataset. After feature selection, five features eliminated. The ENSEM_SV algorithm that combines the base classifiers to determine the prediction results by soft voting on the results of the classifiers achieved the optimal value on five metrics such as Accuracy, Jaccard_Score, Hamm_Loss, AUC, etc., and the AUC value reached 0.951. The RF, ET, GBDT, and LGB algorithms were employed in the first stage sub-model composed of base classifiers. The AB algorithm was selected as the second stage model, and the ensemble algorithm ENSEM_ST, obtained by Stacking fusion of the two stages exhibited the best performance on 7 indicators such as Accuracy, Sensitivity, F1_Score, Mathew_Corrcoef, etc., and the AUC reached 0.952. Furthermore, a comparison of the algorithms’ classification effects based on different training set occupancy was carried out. The results indicated that the prediction performance of both the fusion models was better than the single models, and the overall effect of ENSEM_ST fusion was stronger than the ENSEM_SV fusion. CONCLUSIONS: The fusion model established in this study improved the overall classification accuracy and stability of the model to a significant extent. It has a good application value in the predictive analysis of CVD diagnosis, and can provide a valuable reference in the disease diagnosis and intervention strategies. Show more
Keywords: Cardiovascular disease, prediction, supervised learning, comparison, feature selection, ensemble learning
DOI: 10.3233/THC-248021
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2024
Authors: Zhou, Xuezhong | Li, Chenxi | Su, Hai | Tang, Zhixian | Li, Ping | Li, Yijie | Hou, Jiawei | Sun, Xun
Article Type: Research Article
Abstract: BACKGROUND: Computer-aided tongue and face diagnosis technology can make Traditional Chinese Medicine (TCM) more standardized, objective and quantified. However, many tongue images collected by the instrument may not meet the standard in clinical applications, which affects the subsequent quantitative analysis. The common tongue diagnosis instrument cannot determine whether the patient has fully extended the tongue or collected the face. OBJECTIVE: This paper proposes an image quality control algorithm based on deep learning to verify the eligibility of TCM tongue diagnosis images. METHODS: We firstly gathered enough images and categorized them into five states. …Secondly, we preprocessed the training images. Thirdly, we built a ResNet34 model and trained it by the transfer learning method. Finally, we input the test images into the trained model and automatically filter out unqualified images and point out the reasons. RESULTS: Experimental results show that the model’s quality control accuracy rate of the test dataset is as high as 97.06%. Our methods have the strong discriminative power of the learned representation. Compared with previous studies, it can guarantee subsequent tongue image processing. CONCLUSIONS: Our methods can guarantee the subsequent quantitative analysis of tongue shape, tongue state, tongue spirit, and facial complexion. Show more
Keywords: Image quality control, tongue image classification, deep learning
DOI: 10.3233/THC-248018
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Yang, Jiao | Zhao, Sha | Zhang, Rui | Huang, Cheng | Huang, Ke-Yao | Cheng, Ying | He, Cheng-Qi | Li, Ling-Xin
Article Type: Review Article
Abstract: BACKGROUND: The purpose of this meta-analysis was to evaluate the effectiveness and safety of thoracic manipulation (TM) in patients with neck pain (NP). OBJECTIVE: The purpose of this meta-analysis was to evaluate the effectiveness and safety of thoracic manipulation (TM) in patients with neck pain (NP). METHODS: Seven electronic databases were searched from their inception through October 2023 by two authors. The methodological quality assessments were performed with the Physiotherapy Evidence Database (PEDro) scale. Pain, cervical range of motion (ROM), disability, and quality of life (QOL) were estimated for TM treatment in patients with NP. …RESULTS: Eighteen randomized controlled trials (RCTs) with 914 patients were included with a PEDro score of 6.923 ± 3.120. Pooled effect sizes of pain (SMD = - 0.481, 95% CI - 0.653 to - 0.309, P = 0.000), disability (SMD = - 1.435, 95% CI - 2.480 to - 0.390, P = 0.007), QOL-physical component score (PCS) (SMD = 0.658, 95% CI 0.290 to 1.025, P = 0.000), ROM of flexion (SMD = 0.921, 95% CI 0.287 to 1.555, P = 0.000), ROM of extension (SMD = 0.572, 95% CI 0.321 to 0.822, P = 0.000), ROM of left lateral flexion (SMD = 0.593, 95% CI 0.075 to 1.112, P = 0.025) and ROM of left rotation (SMD = 0.230, 95% CI 0.010 to 0.450, P = 0.04) were favored by the TM group. CONCLUSIONS: TM provides short-term effect on relieving neck pain, increasing cervical ROM, and disability in patients with NP without serious side effects. Continuous therapy and distraction therapy are recommended as optimal choice on reducing pain and improving cervical ROM, especially in patients with chronic NP (> 3 months). The TM-induced improvements in the QOL of patients with NP should be verified by more further high-quality RCTs. Show more
Keywords: Thoracic manipulation (TM), thoracic spine manipulation, chronic neck pain, neck pain, cervical range of motion (ROM), disability
DOI: 10.3233/THC-248034
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024
Authors: Kim, Ji-Won | Cha, Sang-Ho | Lee, Min-Kyun | Ko, Junghyuk | Kwon, Yu-Ri
Article Type: Research Article
Abstract: BACKGROUND: Studies investigating postural balance during various infant care postures have not been reported yet. OBJECTIVE: The aim of this study was to measure static postural balance when holding an infant dummy in-arms and carrying an infant dummy on back according to different infant dummy weights. METHODS: Sixteen healthy young subjects participated in a balance test. Infant dummies with weights of 4.6 kg (1-month) and 9.8 kg (12-month) were used in this study. All subjects were asked to naturally stand on a force platform in two infant care postures (holding an infant in-arms and …carrying an infant on one’s back). Center of pressure (COP) was measured from the force platform. Quantitative variables were derived from the COP. Two-way repeated measure analysis of variance (ANOVA) was performed to determine main effects of infant care postures, infant weight, and their interactions on COP variables. RESULTS: Back carrying a 12-month infant dummy had the greatest amplitude in all COP variables. Back carrying posture showed significantly greater mean distance and peak power, faster mean velocity, and wider COP area compared to holding posture (P < 0.05). There were significant weight effects of most COP variables mainly in AP direction (P < 0.01). CONCLUSIONS: Our results could contribute to the prevention of musculoskeletal diseases or prevention of fall due to various infant care activities by developing an assisting device to improve postural balance. Show more
Keywords: Infant care, center of pressure, static postural balance, infant carrying posture, infant weight
DOI: 10.3233/THC-248032
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Zhang, Qiaohui | Xu, Demin
Article Type: Research Article
Abstract: BACKGROUND: Heart failure poses a significant challenge in the global health domain, and accurate prediction of mortality is crucial for devising effective treatment plans. In this study, we employed a Seq2Seq model from deep learning, integrating 12 patient features. By finely modeling continuous medical records, we successfully enhanced the accuracy of mortality prediction. OBJECTIVE: The objective of this research was to leverage the Seq2Seq model in conjunction with patient features for precise mortality prediction in heart failure cases, surpassing the performance of traditional machine learning methods. METHODS: The study utilized a Seq2Seq model …in deep learning, incorporating 12 patient features, to intricately model continuous medical records. The experimental design aimed to compare the performance of Seq2Seq with traditional machine learning methods in predicting mortality rates. RESULTS: The experimental results demonstrated that the Seq2Seq model outperformed conventional machine learning methods in terms of predictive accuracy. Feature importance analysis provided critical patient risk factors, offering robust support for formulating personalized treatment plans. CONCLUSIONS: This research sheds light on the significant applications of deep learning, specifically the Seq2Seq model, in enhancing the precision of mortality prediction in heart failure cases. The findings present a valuable direction for the application of deep learning in the medical field and provide crucial insights for future research and clinical practices. Show more
Keywords: Heart failure, Seq2Seq model, medical decision support, mortality prediction
DOI: 10.3233/THC-248029
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Xie, Hefu | Wang, Bingbing | Hong, Yuanzhen
Article Type: Research Article
Abstract: BACKGROUND: Acute Liver Failure (ALF) is a critical medical condition with rapid development, often caused by viral infections, hepatotoxic drug abuse, or other severe liver diseases. Timely and accurate prediction of ALF occurrence is clinically crucial. However, predicting ALF poses challenges due to the diverse physiological differences among patients and the dynamic nature of the disease. OBJECTIVE: This study introduces a deep learning approach that combines fully connected and convolutional neural networks for effective ALF prediction. The goal is to overcome limitations of traditional machine learning methods and enhance predictive model performance and generalization. METHODS: …The proposed model integrates a fully connected neural network for handling basic patient features and a convolutional neural network dedicated to capturing temporal patterns in patient data. The combination allows automatic learning of complex patterns and abstract features present in highly dynamic medical data associated with ALF. RESULTS: The model’s effectiveness is demonstrated through comprehensive experiments and performance evaluations. It outperforms traditional machine learning methods, achieving 94.8% accuracy and superior generalization capabilities. CONCLUSIONS: The study highlights the potential of deep learning in ALF prediction, emphasizing the importance of considering individualized medical factors. Future research should focus on improving model robustness, addressing imbalanced data, and further exploring personalized features for enhanced predictive accuracy in real-world clinical scenarios. Show more
Keywords: Acute liver failure, deep learning, fully connected neural network, convolutional neural network
DOI: 10.3233/THC-248048
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Zhang, Nan | Nie, Yanmin | Dong, Bingyue | Zhang, Da | Li, Guojun | Ning, Junyu | Xian, Bo | Chen, Weiyang | Gao, Shan
Article Type: Research Article
Abstract: BACKGROUND: Caenorhabditis elegans is a widely used model animal. Chemotaxis assay is one of the experiments that study the effects of different chemicals on nematodes. It is mainly used to study the effects of different chemicals on the perception behavior of nematodes. By conducting this experiment, not only can the neurotoxicity of chemicals be reflected, but also the impact of chemicals on physiological functions regulated by the nervous system, such as nematode feeding behavior and basic motor ability. OBJECTIVE: The experiment of detecting the response of nematode to chemicals is also a common method of chemical …toxicity testing based on nematode models. In the analysis of worm tendency behavior, manual operations are generally used. Manually processing a large number of worms under a microscope is very time-consuming and labor-intensive. The current quantitative methods for nematode chemotaxis experiments are not only time-consuming and labor-intensive, but also biased in experimental results due to differences in judgment standards among experimenters. The automatic and efficient quantification method for nematode chemotaxis experiments is a very important technical difficulty in the field of nematode experiments. METHODS: Here, we have designed an automatic quantification method for nematode chemotaxis experiments by incorporating image acquisition and processing techniques into the nematode experiment. RESULTS: The experimental results show that the Pearson correlation coefficient between manual and automatic counting results is 0.978. CONCLUSION: This proves the effectiveness of our method. Applying the automatic measurement method to replace manual counting by the experimenter can improve work efficiency, and reduce errors in human counting operations. Show more
Keywords: C. elegans, image processing, behavior analysis, automatic quantification
DOI: 10.3233/THC-248013
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Yang, Xiaorong | Hu, Jieping | Chen, Qiang | Yang, Lin | Liu, Yifu | Luo, Longhua | Ma, Ming | Xie, Wenjie | Gong, Binbin | Sun, Ting | Tang, Jiazhen | Liu, Fang
Article Type: Research Article
Abstract: BACKGROUND: A growing body of evidence has shown that activating spinal cord glial cells (typically astrocytes and microglial cells) is closely related to hyperpathia and persistent pain. OBJECTIVE: To investigate the expression of GFAP and CR3/CD11b in cornu dorsale medullae spinalis of rats with nonbacterial prostatitis, to explore the therapeutic efficacy and action mechanism of intrathecal injection of BNP alleviating chronic neuropathic pain. METHODS: Eighteen male SPF SD rats were randomly divided into sham operation control group, nonbacterial prostatitis group (NBP) and intrathecal injection BNP group, the NBP model was established by intraprostatic injection …of CFA, and the spinal cord of L6-S1 segment was extracted seven days after intrathecal injection of BNP; The expression of GFAP and CR3/CD11b in dorsal horn of spinal cord were detected by immunofluorescence and Western blot. RESULTS: The cumulative optical density values of GFAP and CR3/CD11b immunofluorescence assay in the NBP group were higher than those in the sham operation group, with statistical significance (p ï ¼ 0.01); The expression of GFAP and CR3/CD11b in intrathecal injection BNP group were lower than those in NBP group, the differences were statistically significant (p ï ¼ 0.01). Western blot results showed that the expression of GFAP and CR3/CD11B in NBP group were higher than those in sham operation group, with statistical significance (p ï ¼ 0.05). The expression of GFAP and CR3/CD11B in intrathecal injection BNP group were lower than those in NBP group, the differences were statistically significant (p ï ¼ 0.05). CONCLUSION: Intrathecal injection of BNP can down-regulate the expressions of GFAP and CR3/CD11b in L6-S1 spinal cord of NBP rat model and to further inhibit chronic pain caused by NBP. Show more
Keywords: Nonbacterial prostatitis BNP, GFAP, CR3/CD11b
DOI: 10.3233/THC-248031
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Park, Chanhee | Yoon, Hyunsik
Article Type: Research Article
Abstract: BACKGROUND: Patients with hemiparetic stroke experience diminished motor function, dynamic balance, and gait speed, which influence their activities of daily living (ADL). OBJECTIVE: This study aimed to determine the therapeutic effects of ultrasound biofeedback core exercise (UBCE) on Fugl-Meyer assessment (FMA), Time up and go (TUG), 10-meter walking test (10MWT) and functional independent measure (FIM) in participants with stroke. METHODS: Twenty-four stroke survivors consistently underwent UBCE or abdominal draw-in maneuver (ADIM) for 30 min/session, 3 days a week for 4 weeks. Clinical outcome measurements – the FMA, TUG, 10MWT, and FIM – were observed pre-and post-intervention. …RESULTS: We detected significant changes in the FMA-lower extremities, TUG, 10MWT, and FIM scores between the UBCE and ADIM groups. UBCE and ADIM showed significant improvements in FMA-lower extremities, TUG, 10MWT, and FIM scores. However, UBCE showed more favorable results than ADIM in patients with stroke. CONCLUSIONS: Our research provides novel therapeutic suggestion of neurorehabilitation in stroke patients. Show more
Keywords: Stroke, somatosensory-evoked potential, balance, gait
DOI: 10.3233/THC-248042
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-10, 2024
Authors: Yu, Xia | Ma, Liyong | Wang, Hongjie | Zhang, Yong | Du, Hai | Xu, Kaiyuan | Wang, Lianfang
Article Type: Research Article
Abstract: BACKGROUND: Congenital heart disease (CHD) seriously affects children’s health and quality of life, and early detection of CHD can reduce its impact on children’s health. Tetralogy of Fallot (TOF) and ventricular septal defect (VSD) are two types of CHD that have similarities in echocardiography. However, TOF has worse diagnosis and higher morality than VSD. Accurate differentiation between VSD and TOF is highly important for administrative property treatment and improving affected factors’ diagnoses. OBJECTIVE: TOF and VSD were differentiated using convolutional neural network (CNN) models that classified fetal echocardiography images. METHODS: We collected 105 fetal echocardiography …images of TOF and 96 images of VSD. Four CNN models, namely, VGG19, ResNet50, NTS-Net, and the weakly supervised data augmentation network (WSDAN), were used to differentiate the two congenital heart diseases. The performance of these four models was compared based on sensitivity, accuracy, specificity, and AUC. RESULTS: VGG19 and ResNet50 performed similarly, with AUCs of 0.799 and 0.802, respectively. A superior performance was observed with NTS-Net and WSDAN specific for fine-grained image categorization tasks, with AUCs of 0.823 and 0.873, respectively. WSDAN had the best performance among all models tested. CONCLUSIONS: WSDAN exhibited the best performance in differentiating between TOF and VSD and is worthy of further clinical popularization. Show more
Keywords: Congenital heart disease, fetal echocardiography images, tetralogy of Fallot, ventricular septal defect, deep learning
DOI: 10.3233/THC-248040
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-8, 2024
Authors: Ling, Caijin | Zeng, Ting | Dang, Qi | Liang, Yong | Liu, Xiaoying | Xie, Shengli
Article Type: Research Article
Abstract: BACKGROUND: Drug repositioning (DR) refers to a method used to find new targets for existing drugs. This method can effectively reduce the development cost of drugs, save time on drug development, and reduce the risks of drug design. The traditional experimental methods related to DR are time-consuming, expensive, and have a high failure rate. Several computational methods have been developed with the increase in data volume and computing power. In the last decade, matrix factorization (MF) methods have been widely used in DR issues. However, these methods still have some challenges. (1) The model easily falls into a bad …local optimal solution due to the high noise and high missing rate in the data. (2) Single similarity information makes the learning power of the model insufficient in terms of identifying the potential associations accurately. OBJECTIVE: We proposed self-paced learning with dual similarity information and MF (SPLDMF), which introduced the self-paced learning method and more information related to drugs and targets into the model to improve prediction performance. METHODS: Combining self-paced learning first can effectively alleviate the model prone to fall into a bad local optimal solution because of the high noise and high data missing rate. Then, we incorporated more data into the model to improve the model’s capacity for learning. RESULTS: Our model achieved the best results on each dataset tested. For example, the area under the receiver operating characteristic curve and the precision-recall curve of SPLDMF was 0.982 and 0.815, respectively, outperforming the state-of-the-art methods. CONCLUSION: The experimental results on five benchmark datasets and two extended datasets demonstrated the effectiveness of our approach in predicting drug-target interactions. Show more
Keywords: Drug repositioning, drug-target interaction prediction, self-paced learning, matrix factorization, multi-view similarity information
DOI: 10.3233/THC-248005
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-16, 2024
Authors: Zeng, Ting | Ling, Caijin | Liang, Yong
Article Type: Research Article
Abstract: BACKGROUND: Colon cancer is the most prevalent and rapidly increasing malignancy globally. It has been suggested that some of the ingredients in the herb pair of Coptidis Rhizoma and ginger (Zingiber officinale ), a traditional Chinese medicine, have potential anti-colon cancer properties. OBJECTIVE: This study aimed to investigate the molecular mechanisms underlying the effects of the Coptidis Rhizoma-ginger herb pair in treating colon cancer, using an integrated approach combining network pharmacology and molecular docking. METHODS: The ingredients of the herb pair Coptidis Rhizoma-ginger, along with their corresponding protein targets, were obtained from the Traditional …Chinese Medicine System Pharmacology and Swiss Target Prediction databases. Target genes associated with colon cancer were retrieved from the GeneCards and OMIM databases. Then, the protein targets of the active ingredients in the herb pair were identified, and the disease-related overlapping targets were determined using the Venn online tool. The protein-protein interaction (PPI) network was constructed using STRING database and analyzed using Cytoscape 3.9.1 to identify key targets. Then, a compound-target-disease-pathway network map was constructed. The intersecting target genes were subjected to Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses for colon cancer treatment. Molecular docking was performed using the Molecular Operating Environment (MOE) software to predict the binding affinity between the key targets and active compounds. RESULTS: Besides 1922 disease-related targets, 630 targets associated with 20 potential active compounds of the herb pair Coptidis Rhizoma-ginger were collected. Of these, 229 intersection targets were obtained. Forty key targets, including STAT3, Akt1, SRC, and HSP90AA1, were further analyzed using the ClueGO plugin in Cytoscape. These targets are involved in biological processes such as miRNA-mediated gene silencing, phosphatidylinositol 3-kinase (PI3K) signaling, and telomerase activity. KEGG enrichment analysis showed that PI3K-Akt and hypoxia-inducible factor 1 (HIF-1) signaling pathways were closely related to colon cancer prevention by the herb pair Coptidis Rhizoma-ginger. Ten genes (Akt1, TP53, STAT3, SRC, HSP90AA1, JAK2, CASP3, PTGS2, BCl2, and ESR1) were identified as key genes for validation through molecular docking simulation. CONCLUSIONS: This study demonstrated that the herb pair Coptidis Rhizoma-ginger exerted preventive effects against colon cancer by targeting multiple genes, utilizing various active compounds, and modulating multiple pathways. These findings might provide the basis for further investigations into the molecular mechanisms underlying the therapeutic effects of Coptidis Rhizoma-ginger in colon cancer treatment, potentially leading to the development of novel drugs for combating this disease. Show more
Keywords: Colon cancer, Coptidis Rhizoma, ginger, molecular docking, network pharmacology
DOI: 10.3233/THC-248046
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-20, 2024
Authors: Lin, Mingfeng | Hong, Yuanzhen | Hong, Shichai | Zhang, Suzhen
Article Type: Research Article
Abstract: BACKGROUND: Cardiovascular diseases (CVDs) are the leading global cause of mortality, necessitating advanced diagnostic tools for early detection. The electrocardiogram (ECG) is pivotal in diagnosing cardiac abnormalities due to its non-invasive nature. OBJECTIVE: This study aims to propose a novel approach for ECG signal classification, addressing the challenges posed by the complexity of ECG signals associated with various diseases. METHODS: Our method integrates Discrete Wavelet Transform (DWT) for feature extraction, capturing salient features of cardiovascular diseases. Subsequently, the gcForest model is employed for efficient classification. The approach is tested on the MIT-BIH Arrhythmia …Database. RESULTS: The proposed method demonstrates promising results on the MIT-BIH Arrhythmia Database, achieving a test accuracy of 98.55%, recall of 98.48%, precision of 98.44%, and an F1 score of 98.46%. Additionally, the model exhibits robustness and low sensitivity to hyper-parameters. CONCLUSION: The combined use of DWT and the gcForest model proves effective in ECG signal classification, showcasing high accuracy and reliability. This approach holds potential for improving early detection of cardiovascular diseases, contributing to enhanced cardiac healthcare. Show more
Keywords: ECG classification, Discrete Wavelet Transform, GcForest
DOI: 10.3233/THC-248008
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2024
Authors: Chen, Rongcan | Wang, Qinglian | Huang, Xiaoyuan
Article Type: Research Article
Abstract: BACKGROUND: Oral cancer is a malignant tumor that usually occurs within the tissues of the mouth. This type of cancer mainly includes tumors in the lining of the mouth, tongue, lips, buccal mucosa and gums. Oral cancer is on the rise globally, especially in some specific risk groups. The early stage of oral cancer is usually asymptomatic, while the late stage may present with ulcers, lumps, bleeding, etc. OBJECTIVE: The objective of this paper is to propose an effective and accurate method for the identification and classification of oral cancer. METHODS: We applied two deep …learning methods, CNN and Transformers. First, we propose a new CANet classification model for oral cancer, which uses attention mechanisms combined with neglected location information to explore the complex combination of attention mechanisms and deep networks, and fully tap the potential of attention mechanisms. Secondly, we design a classification model based on Swim transform. The image is segmented into a series of two-dimensional image blocks, which are then processed by multiple layers of conversion blocks. RESULTS: The proposed classification model was trained and predicted on Kaggle Oral Cancer Images Dataset, and satisfactory results were obtained. The average accuracy, sensitivity, specificity and F1-Socre of Swin transformer architecture are 94.95%, 95.37%, 95.52% and 94.66%, respectively. The average accuracy, sensitivity, specificity and F1-Score of CANet model were 97.00%, 97.82%, 97.82% and 96.61%, respectively. CONCLUSIONS: We studied different deep learning algorithms for oral cancer classification, including convolutional neural networks, converters, etc. Our Attention module in CANet leverages the benefits of channel attention to model the relationships between channels while encoding precise location information that captures the long-term dependencies of the network. The model achieves a high classification effect with an accuracy of 97.00%, which can be used in the automatic recognition and classification of oral cancer. Show more
Keywords: Oral cancer classification, attention mechanism, transformer
DOI: 10.3233/THC-248041
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2024
Article Type: Research Article
Abstract: BACKGROUND: Double rocking jump rope training can effectively enhance physical recovery, adaptability to exercise load, and lower limb muscle strength of badminton players in sports colleges, thus offering valuable insights for improving training methods in sports colleges and universities. OBJECTIVE: To investigate the effect of double rocking jump rope training on the lower limb muscle strength of badminton players specializing in badminton in sports colleges. METHODS: An experimental study was conducted through a ten-week teaching intervention experiment with badminton players. Relevant heart rate indexes and badminton related lower limb muscle strength indexes were …measured before and after the experiment. The data of the measured relevant indexes were statistically and analytically analyzed. At the end of the experiment, the physical recovery level and the heart’s adaptability to the exercise load of the control group were improved, and the lower limb muscle strength test indexes and sports performance were better than before the experiment. In the experimental group, badminton players’ physical function, anaerobic metabolism of the body and other aspects also improved. RESULTS: The physical function of the experimental group of badminton players, the energy supply capacity of the body anaerobic metabolism and aerobic work capacity all have an enhancement effect, enabling badminton players to adapt to large exercise loads quickly and improve the recovery rate of physical fitness. CONCLUSION: The introduction of double rocking jump rope into badminton training classes in sports colleges and universities as a means of lower limb muscle strength training is conducive to improving the level of lower limb muscle strength of special badminton players, enriching the teaching and training means of lower limb muscle strength in sports colleges and universities, and broadening the research field of lower limb muscle strength in badminton in sports colleges and universities. Show more
Keywords: Double rocking jump rope, badminton, lower limb muscle strength, AdaBoost algorithm optimization
DOI: 10.3233/THC-231868
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-18, 2024
Authors: Chen, Yunyi | Quan, Lan | Long, Chao | Chen, Yuxuan | Zu, Li | Huang, Chenxi
Article Type: Research Article
Abstract: BACKGROUND: Brain tumor is a highly destructive, aggressive, and fatal disease. The presence of brain tumors can disrupt the brain’s ability to control body movements, consciousness, sensations, thoughts, speech, and memory. Brain tumors are often accompanied by symptoms like epilepsy, headaches, and sensory loss, leading to varying degrees of cognitive impairment in affected patients. OBJECTIVE: The study goal is to develop an effective method to detect and segment brain tumor with high accurancy. METHODS: This paper proposes a novel U-Net+ + network using EfficientNet as the encoder to …segment brain tumors based on MRI images. We adjust the original U-Net+ + model by removing the dense skip connections between sub-networks to simplify computational complexity and improve model efficiency, while the connections of feature maps at the same resolution level are retained to bridge the semantic gap. RESULTS: The proposed segmentation model is trained and tested on Kaggle’s LGG brain tumor dataset, which obtains a satisfying performance with a Dice coefficient of 0.9180. CONCLUSION: This paper conducts research on brain tumor segmentation, using the U-Net+ + network with EfficientNet as an encoder to segment brain tumors based on MRI images. We adjust the original U-Net+ + model to simplify calculations and maintains rich semantic spatial features at the same time. Multiple loss functions are compared in this study and their effectiveness are discussed. The experimental results shows the model achieves a high segmention result with Dice coefficient of 0.9180. Show more
Keywords: Brain tumor segmentation, EfficientNet encoder, U-Net++ framework
DOI: 10.3233/THC-248016
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Jiang, Wei | Zhang, Youmeng | Yan, Jie | He, Zhiyan | Chen, Weixu
Article Type: Research Article
Abstract: BACKGROUND: Enterococcus faecalis biofilm was frequently found on the failed treated root canal wall, which survived by resisting disinfectant during endodontic treatment.Many researches have been conducted to explore the mechanisms of persistence of this pathogen in unfavorable conditions. However, no comprehensive proteomics studies have been conducted to investigate stress response in Enterococcus faecalis caused by alkali and NaOCl. OBJECTIVE: Enterococcus faecalis (E.f) has been recognized as a main pathogen of refractory apical periodontitis, its ability to withstand environmental pressure is the key to grow in the environment of high alkaline and anti-bacterial drug that causes chronic infection in …the root canal. This study aims to focus on the protein expression patterns of E.f biofilm under extreme pressure environment”. METHODS: Enterococcus faecalis biofilm model was established in vitro. Liquid Chromatograph-Mass Spectrometer (LC-MS/MS)-based label free quantitative proteomics approach was applied to compare differential protein expression under different environmental pressures (pH 10 and 5% sodium hypochlorite (NaOCl)). And then qPCR and Parallel Reaction Monitoring Verification (PRM) were utilized to verify the consequence of proteomics. RESULTS: The number of taxa in this study was higher than those in previous studies, demonstrating the presence of a remarkable number of proteins in the groups of high alkaline and NaOCl. Proteins involved in ATP-binding cassette (ABC) transporter were significantly enriched in experimental samples. We identified a total of 15 highly expressed ABC transporters in the high alkaline environment pressure group, with 7 proteins greater than 1.5 times. CONCLUSIONS: This study revealed considerable changes in expression of proteins in E.f biofilm during resistance to environmental pressures. The findings enriched our understanding of association between the differential expression proteins and environmental pressures. Show more
Keywords: Enterococcus faecalis, biofilm, proteomics, alkaline stress, sodium hypochlorite
DOI: 10.3233/THC-248033
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-13, 2024
Authors: Lu, Jian-Lin | Yuan, Xiao-Yan | Zhang, Jin-Shan | Li, Yuan
Article Type: Research Article
Abstract: BACKGROUND: Ever since the GALAD (gender-age-Lens culinaris agglutinin-reactive alpha-fetoprotein-alpha-fetoprotein-des-gamma-carboxy prothrombin) logistic regression model was established to diagnose hepatocellular carcinoma (HCC), there has been no high-level evidence that evaluates and summarizes it. OBJECTIVE: This meta-analysis was performed to assess the diagnostic ability of the GALAD model. METHODS: The following databases were systematically searched for original diagnostic studies on HCC: PubMed, Embase, Medline, the Web of Science, Cochrane Library, China National Knowledge Infrastructure Wanfang (China), Wiper and the Chinese BioMedical Literature Database. After screening the search results according to our criteria, the Quality Assessment …of Diagnostic Accuracy Studies 2 tool was used to evaluate the methodologic qualities, and statistical software were used to output the statistics. RESULTS: Ultimately, 10 studies were included and analyzed. The results revealed the pooled sensitivity and specificity of the GALAD model to be 0.86 (95% confidence interval [CI]: 0.82, 0.90) and 0.90 (95% CI: 0.87, 0.92), respectively, for all-stage HCC. The area under the curve (AUC) was 0.94. For early-stage HCC, the pooled sensitivity and specificity of the GALAD model were 0.83 (95% CI: 0.78, 0.87) and 0.81 (95% CI: 0.78, 0.83), respectively. The AUC was 0.90. CONCLUSION: This meta-analysis confirmed that the GALAD model has excellent diagnostic performance for early-stage and all-stage HCC and can maintain high sensitivity and specificity in early-stage HCC. Therefore, the GALAD model is qualified for screening early-stage canceration from chronic liver disease. Show more
Keywords: HCC, logistic models, biomarkers, diagnostic efficiency, early detection of cancer
DOI: 10.3233/THC-231470
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-15, 2024
Authors: De Mauro, Domenico | Salber, Jochen | Stimolo, Davide | Florian, Ende | Citak, Mustafa
Article Type: Review Article
Abstract: BACKGROUND: In periprosthetic joint infections (PJIs), the surgeon’s role becomes pivotal in addressing the infection locally, necessitating the surgical removal of infected and necrotic tissue. Opportunity to enhance the visualization of infected tissue during surgery could represent a game-changing innovation. OBJECTIVE: The aim of this narrative review is to delineate the application of intraoperative fluorescence imaging for targeting infected tissues in PJIs. METHODS: A systematic review, adhering to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines, was carried out. The search included multiple online database; MEDLINE, Scopus, and Web of …Science. For data extraction the following were evaluated: (i) diagnosis of musculoskeletal infection; (ii) use of intraoperative fluorescence imaging; (iii) infected or necrotic tissues as target. RESULTS: Initially, 116 studies were identified through online database searches and reference investigations. The search was narrowed down to a final list of 5 papers for in-depth analysis at the full-text level. Subsequently, 2 studies were included in the review. The study included a total of 13 patients, focusing on cases of fracture-related infections of the lower limbs. CONCLUSION: The primary and crucial role for orthopedic surgeons in PJIs is the surgical debridement and precise removal of necrotic and infected tissue. Technologies that enable clear and accurate visualization of the tissue to be removed can enhance the eradication of infections, thereby promoting healing. A promising avenue for the future involves the potential application of intraoperative fluorescence imaging in pursuit of this objective. Show more
Keywords: Intraoperative fluorescence imaging, periprosthetic joint infections, total joint arthroplasty, necrotic tissue, 5-aminolevulinic acid
DOI: 10.3233/THC-240479
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-7, 2024
Authors: Tang, Jianer | Zheng, Xiangyi | Wang, Xiao | Mao, Qiqi | Xie, Liping | Wang, Rongjiang
Article Type: Research Article
Abstract: BACKGROUND: Transrectal ultrasound-guided prostate biopsy is the gold standard diagnostic test for prostate cancer, but it is an invasive examination of non-targeted puncture and has a high false-negative rate. OBJECTIVE: In this study, we aimed to develop a computer-assisted prostate cancer diagnosis method based on multiparametric MRI (mpMRI) images. METHODS: We retrospectively collected 106 patients who underwent radical prostatectomy after diagnosis with prostate biopsy. mpMRI images, including T2 weighted imaging (T2WI), diffusion weighted imaging (DWI), and dynamic-contrast enhanced (DCE), and were accordingly analyzed. We extracted the region of interest (ROI) about the tumor …and benign area on the three sequential MRI axial images at the same level. The ROI data of 433 mpMRI images were obtained, of which 202 were benign and 231 were malignant. Of those, 50 benign and 50 malignant images were used for training, and the 333 images were used for verification. Five main feature groups, including histogram, GLCM, GLGCM, wavelet-based multi-fractional Brownian motion features and Minkowski function features, were extracted from the mpMRI images. The selected characteristic parameters were analyzed by MATLAB software, and three analysis methods with higher accuracy were selected. RESULTS: Through prostate cancer identification based on mpMRI images, we found that the system uses 58 texture features and 3 classification algorithms, including Support Vector Machine (SVM), K-nearest Neighbor (KNN), and Ensemble Learning (EL), performed well. In the T2WI-based classification results, the SVM achieved the optimal accuracy and AUC values of 64.3% and 0.67. In the DCE-based classification results, the SVM achieved the optimal accuracy and AUC values of 72.2% and 0.77. In the DWI-based classification results, the ensemble learning achieved optimal accuracy as well as AUC values of 75.1% and 0.82. In the classification results based on all data combinations, the SVM achieved the optimal accuracy and AUC values of 66.4% and 0.73. CONCLUSION: The proposed computer-aided diagnosis system provides a good assessment of the diagnosis of the prostate cancer, which may reduce the burden of radiologists and improve the early diagnosis of prostate cancer. Show more
Keywords: Computer-aided detection, multiparametric magnetic resonance imaging, prostate cancer, texture analysis
DOI: 10.3233/THC-248011
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Li, Xingcen | Li, Qianpeng | Li, Jinhan | Wang, Xiaoyi | Zou, Huaxiu | Wang, Shuyang | Fan, Jingyi
Article Type: Research Article
Abstract: BACKGROUND: The etiology of Burning Mouth Syndrome (BMS) remains unclear. OBJECTIVE: To explore the differences in the therapeutic efficacy of pain improvement between medication therapy and laser therapy in patients with BMS. METHODS: 45 BMS patients were randomly divided into three groups: The Combination therapy group (Group A, n = 15), The Medication therapy group (Group B, n = 15), and the Laser therapy group (Group C, n = 15). The pain condition of the patients was evaluated …using the Numeric Rating Scale (NRS), and the improvement in pain before and after treatment was compared among the three groups. RESULTS: All three groups (A, B, and C) showed a significant reduction in NRS scores after treatment, with statistically significant differences observed among the different groups. Group A exhibited the most significant improvement, with a statistically significant difference before and after treatment. CONCLUSION: Laser and medication therapy are effective methods for reducing oral burning pain * symptoms, and their combined use yields more significant therapeutic effects. Show more
Keywords: Laser therapy, medication therapy, burning mouth syndrome
DOI: 10.3233/THC-248044
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Zhang, Xinliang | Wang, Lin | Li, Mei | Dong, Shimin
Article Type: Research Article
Abstract: BACKGROUND: Investigating the secondary sepsis of pneumonia is of great significance for rapid diagnosis and early treatment of sepsis. OBJECTIVE: This study aimed to investigate the predictive value of micro ribonucleic acids (miRNA) 7110-5p and miR-223-3p in sepsis secondary to pneumonia. A miRNA microarray was used to analyze the differences in miRNA expression between patients with pneumonia and those with sepsis secondary to pneumonia. METHODS: The study included a total of 50 patients with pneumonia and 42 patients with sepsis secondary to pneumonia. Quantitative polymerase chain reaction analysis was conducted to measure the …circulating miRNA expression levels in patients and assess their correlations with clinical characteristics and prognosis. In this study, nine miRNAs – hsa-miR-4689-5p, hsa-miR-4621-5p, hsa-miR-6740-5p, hsa-miR-7110-5p, hsa-miR-765, hsa-miR-940, hsa-miR-213-5p, hsa-miR-223-3p, and hsa-miR-122 – met the screening criteria of having a fold change ⩾ 2 or < 0.5; p < 0.01 indicated significant differences in the results. RESULTS: The expression levels of miR-7110-5p and miR-223-3p differed between the two patient groups, being up-regulated in the plasma of patients with sepsis secondary to pneumonia. miR-7110-5p and miR-223-3p showed higher expression levels in both patients with pneumonia and sepsis compared to healthy controls. Moreover, the receiver operating characteristic curve revealed that the areas under the curve for predicting pneumonia using miR-7110-5p were 0.781 while those for predicting sepsis secondary to pneumonia were 0.862. For miR-223-3p, the corresponding values for predicting pneumonia and sepsis secondary to pneumonia were 0.879 and 0.924, respectively. However, there were no significant differences in the levels of miR-7110-5p and miR-223-3p between the plasma of survived and deceased patients with sepsis. CONCLUSIONS: MiR-7110-5p and miR-223-3p have the potential to serve as biological indicators for predicting sepsis secondary to pneumonia. Show more
Keywords: miR-7110-5p, miR-223-3p, pneumonia, sepsis secondary to pneumonia
DOI: 10.3233/THC-231137
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
Authors: Guo, Kai | Lu, Jingxin | Yang, Hongbo
Article Type: Research Article
Abstract: BACKGROUND: Prosthetic hands have the potential to replace human hands. Using prosthetic hands can help patients with hand loss to complete the necessary daily living actions. OBJECTIVE: This paper studies the design of a bionic, compact, low-cost, and lightweight 3D printing humanoid hand. The five fingers are underactuated, with a total of 9 degrees of freedom. METHODS: In the design of an underactuated hand, it is a basic element composed of an actuator, spring, rope, and guide system. A single actuator is providing power for five fingers. And the dynamic simulation is carried …out to calculate the motion trajectory effect. RESULTS: In this paper, the driving structure of the ultrasonic motor was designed, and the structural size of the ultrasonic motor vibrator was determined by modal and transient simulation analysis, which replace the traditional brake, realize the lightweight design of prosthetic hand, improve the motion accuracy and optimize the driving performance of prosthetic hand. CONCLUSIONS: By replacing traditional actuators with new types of actuators, lightweight design of prosthetic hands can be achieved, improving motion accuracy and optimizing the driving performance of prosthetic hands. Show more
Keywords: Prosthetic hand, ultrasonic motor, analysis
DOI: 10.3233/THC-248025
Citation: Technology and Health Care, vol. Pre-press, no. Pre-press, pp. 1-11, 2024
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