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ISSN 0928-7329 (P)
ISSN
1878-7401 (E)
Impact Factor 2024: 1.4
Technology and Health Care is intended to serve as a forum for the presentation of original articles and technical notes, observing rigorous scientific standards. Furthermore, upon invitation, reviews, tutorials, discussion papers and minisymposia are featured.
The following types of contributions and areas are considered:
1. Original articles:
Technology development in medicine: New concepts, procedures and devices associated with the use of technology in medical research and clinical practice are presented to a readership with a widespread background in engineering and/or medicine.
Significance of medical technology and informatics for healthcare: The appropriateness, efficacy and usefulness deriving from the application of engineering methods, devices and informatics in medicine and with respect to public health are discussed.
2. Technical notes:
Short communications on novel technical developments with relevance for clinical medicine.
3. Reviews and tutorials (upon invitation only):
Tutorial and educational articles for persons with a primarily medical background on principles of engineering with particular significance for biomedical applications and vice versa are presented.
4. Minisymposia (upon invitation only):
Under the leadership of a Special Editor, controversial issues relating to healthcare are highlighted and discussed by various authors.
Abstract: BACKGROUND: In recent years, the use of the fuzzy c-means (FCM) clustering techniques in medical diagnosis has steadily increased, because of its effectiveness in recognizing systems in the medical database to help medical experts diagnosing diseases. However, its performance is highly dependent on the randomly initialized cluster centroids which may allow the diagnosis to be trapped into the problem of the local optimum. OBJECTIVE: This paper proposes a multiple fuzzy c-means (MFCM) algorithm for medical diagnosis. METHODS: The new method optimizes the initial optimizing cluster centers by comparing the Euclidean distance between…patient data. Further, this paper assigns a set of weights to the features of a certain disease to equalize their difference influence as a substitute for data normalization. RESULTS: The performance of proposed MFCM algorithm was demonstrated through dividing complex primary headache data into Migraine, Tension-Type Headache (TTH), Trigeminal Autonomic Cephalalgias (TACs) and other primary headache disorders. In addition the superiority of MFCM algorithm was proven by comparing analytical results with other state-of-the-art clustering methods. CONCLUSIONS: This MFCM method has shown a new application in medical diagnosis.
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Keywords: Fuzzy c-means, medical diagnosis, primary headache
Abstract: BACKGROUND: A massage can be beneficial to relieve muscle tension on the neck and shoulder area. Various massage systems have been developed, but their motions are not uniform throughout different body parts nor specifically targeted to the neck and shoulder areas. OBJECTIVE: Pressure pattern and finger movement trajectories of the circular friction hand massage on trapezius, levator scapulae, and deltoid muscles were determined to develop a massage system that can mimic the motion and the pressure of the circular friction massage. METHODS: During the massage, finger movement trajectories were measured using a…3D motion capture system, and finger pressures were simultaneously obtained using a grip pressure sensor. RESULTS: Results showed that each muscle had different finger movement trajectory and pressure pattern. The trapezius muscle experienced a higher pressure, longer massage time (duration of pressurization), and larger pressure-time integral than the other muscles. CONCLUSIONS: These results could be useful to design a better massage system simulating human finger movements.
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Keywords: Circular friction hand massage, finger pressure, motion analysis
Abstract: BACKGROUND: As the most abundant protein in human tissues, the use of collagen is essential in the fields of biological science and medicine. OBJECTIVE: The aim of this study is to investigate the mechanical effect of pulsed laser irradiation on collagen tissue. METHODS: With various laser parameters such as peak power, pulse width, and repetition rate, the induced stresses on samples were measured and analyzed. Monte Carlo simulation was performed to investigate the effect of laser parameters on the collagen sample. RESULTS: The results indicated that the magnitude of…mechanical stress could be controlled by various laser parameters. CONCLUSIONS: This study can be used in biostimulation for therapy and mechanoreceptor stimulation for tactile application.
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Abstract: BACKGROUND: Individuals with mobility impairment may benefit from passive exercise mode which can be subsequently enhanced by an active exercise program. However, it is unclear which exercise mode promotes higher adherence to prescribed exercise intensity. OBJECTIVE: The goal of this project was to compare adherence to prescribed speed during passive and active cycling exercise. METHODS: We used cross-over study design in which subjects followed the same cycling intensity prescription for passive and active exercise modes in a random sequence. Coefficient of variation (CV) and speed differences were used to estimate extent of…deviation from the prescribed trajectory. RESULTS: CV varied from 5.2% to 20.4% for the active mode and from 2.8% to 4.5% for the passive mode respectively. Though the CV differences did not reach statistical significance, analysis of cycling speed adherence of 120-second periods showed significantly higher cycling adherence during passive mode for each target cycling speed. CONCLUSIONS: Our results indicated that the passive mode may promote exercise safety and efficacy by helping patients who have safety concerns such as the frail elderly, patients with cardiovascular conditions or people with other contraindications for excessive exertion during exercise, in following the optimal intensity trajectory prescribed by their provider.
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Keywords: Telerehabilitation, cross-over design, exercise, personal health systems, self-management
Abstract: BACKGROUND: During the process of cell micro operation, the contact force between the entry needle and the cell membrane is usually a very small area to be tested. OBJECTIVE: These two features have been utilized to design a high precision micro force sensor to provide a force feedback in the process of cell micro operation. METHODS: However, PVDF (Polyvinylidene Fluoride) has continued to display both a wide range of frequency response and a highly sensitive transform between force and electricity. In this paper a charge signal is obtained. In order to transform…the charge signal into a voltage signal, a signal processing circuit was designed. The data acquisition card PCI-6221 (National Instruments) was used. It was employed to collect the voltage signal. RESULTS: The resultant micro force sensor was calibrated by using a rating test. CONCLUSIONS: The experimental test results demonstrated that the sensitivity and linearity of the designed micro force sensor were higher than the sensitivity and linearity of a traditional piezoelectric sensor.
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Keywords: Cell micro-operation, micro force sensor, PVDF, charge amplifier
Abstract: BACKGROUND: Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field. OBJECTIVE: The aim of this research was to propose an appendicitis diagnosis system using artificial neural networks (ANNs). METHODS: Data from 801 patients of the university hospital in Dongguk were used to construct artificial neural networks for diagnosing appendicitis and acute appendicitis. A radial basis function neural network structure (RBF), a multilayer neural network structure (MLNN), and a probabilistic neural network structure (PNN) were used for artificial neural network models. The Alvarado clinical scoring…system was used for comparison with the ANNs. RESULTS: The accuracy of the RBF, PNN, MLNN, and Alvarado was 99.80%, 99.41%, 97.84%, and 72.19%, respectively. The area under ROC (receiver operating characteristic) curve of RBF, PNN, MLNN, and Alvarado was 0.998, 0.993, 0.985, and 0.633, respectively. CONCLUSIONS: The proposed models using ANNs for diagnosing appendicitis showed good performances, and were significantly better than the Alvarado clinical scoring system (p < 0.001). With cooperation among facilities, the accuracy for diagnosing this serious health condition can be improved.
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Abstract: BACKGROUND: Comprehensive analysis of the inherent laws and the biomechanic principles of human walking with load carriage and building kinematics, and kinematics model of human walking with load carriage, are very meaningful for the development of devices and apparatus that are related to human walking with load carriage, such as a lower limb exoskeleton. OBJECTIVE: The gait experiment of human walking with load carriage is designed and performed in this paper. METHODS: The obtained video is marked and analyzed by using SIMI motion analytical software. The space motion coordinates at each body's…mark point that is needed in the kinematics model of established human walking with load carriage is obtained. Based on inverse kinematics, a dynamic model of human walking with load carriage is established. The SPSS statistical analysis software is used for statistical processing for determining key gait parameters. RESULTS: The influence of load and speed on the walking gait parameters is analyzed systematically. CONCLUSIONS: The method provides a theoretical basis for the design of an exoskeleton.
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Keywords: Human walking with load carriage, load experiment, biomechanics model, gait parameter
Abstract: BACKGROUND: Respiratory ciliary motion is enabled by dynein/microtubule activity. Current observation techniques can hardly capture the dynein activation pattern in moving cilia. Here we introduce a computational model to mimic the ciliary ultrastructure and simulate the dynein-driven ciliary motion. METHODS: A three-dimensional model is established to mimic the ``9 + 2'' ciliary ultrastructure. The dynein force is simulated as point loads embedded along the microtubules. The dynein-triggered ciliary motion is solved by using the Finite Element Method along with grid deformation techniques. RESULTS: By comparing the simulated ciliary movement to the observation…results, the rationality of different dynein activity hypotheses are evaluated and the dynein activation pattern that can produce the planar beating of lung cilia is proposed. The results also reveal that the dynein force alone can only generate longitudinal microtubule sliding and ciliary bending; to produce the ciliary `curl-up' movement, transverse forces (possibly induced by radial spokes) need to be considered. CONCLUSION: This model provides a platform to investigate various assumptions of dynein activity, facilitating us to evaluate their rationality and propose possible dynein activation patterns.
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Keywords: Respiratory cilia, dynein, ultrastructure, finite element method
Abstract: BACKGROUND: Because protons in fat do not exhibit a temperature-dependent frequency shift, proton resonance frequency shift (PRFS)-based MR thermometry always suffers from disturbances due to the presence of fats or lipids. OBJECTIVE: A new fat suppression method for PRFS-based MR thermometry is proposed to obtain accurate variation of phase angle. METHODS: Similar to the approach of separating fat and water with the two-point Dixon technique, we first scan a complex MR image for reference and then scan another complex image varying with temperature at the same TE point. Based on the…conventional PRFS method, we use geometric relationships to remove the effect of fat on the variation of the phase angle. RESULTS: Two phantoms with different water-to-fat ratios are involved in the temperature mapping test. Experimental results show that the temperature images of two phantoms are approximated under the same conditions. CONCLUSIONS: The proposed fat suppression method is simple and effective for PRFS-based MR thermometry.
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Keywords: MR thermometry, PRFS, fat suppression, geometric model
Abstract: BACKGROUND: Although many previous studies have focused on statistical graph comprehension in cognitive psychology, there is no consensus among them. OBJECTIVE: Brain neuroimaging studies on the statistical graph comprehension are useful to account for the cognitive mechanism of interpreting statistical graphic information. METHODS: The present study used two experimental conditions, a statistical graph (SG) and a statistical graph with text (SGT), and one control condition, a text (ST), where the ST task was a verbal description of the information from the SG, and when the SGT is a mixed graph + textual…description. We used fMRI to investigate the brain activity of 36 normal subjects while they passively viewed the statistical information presented in visual forms as SG, ST or SGT. RESULTS: The results showed that compared with the control tasks, both SG and SGT consistently activated ventral and dorsal streams and that compared with SGT, SG significantly activated the ventral stream but not the dorsal stream. CONCLUSIONS: These results suggest that the portions of the ventral and dorsal streams related to object recognition are commonly involved in statistical graph comprehension. These findings provide neuroimaging evidence for the cognitive processing of statistical graphs.
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