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Issue title: Artificial Intelligence and Advanced Manufacturing (AIAM 2020)
Guest editors: Shengzong Zhou
Article type: Research Article
Authors: Bai, Baodana | Zhao, Yufangd | Chen, Xinrongb; c; * | Chen, Yingmine | Luo, Zhangyuanf
Affiliations: [a] School of Medical Instruments, Shanghai University of Medicine and Health Sciences, Shanghai, China | [b] Academy for Engineering and Technology, Fudan University, Shanghai, China | [c] Shanghai Key Laboratory of Medical Image Computing and Computer Assisted Intervention, Shanghai, China | [d] Shaoxing Institute of Shanghai University, Shaoxing, China | [e] Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China | [f] Shaoxing Institute of Shanghai University, Shaoxing, China
Correspondence: [*] Corresponding author. Xinrong Chen, 20033, Shanghai, China. E-mail: chenxinrong@fudan.edu.cn.
Abstract: In this paper, a smart low-power wearable ECG monitoring and analyzing system which has an advanced architecture and low power consumption has been developed. There is a single channel ECG monitor that removes all loose wires from the system and minimizes the footprint on the user, ECG data can be continuously monitored for up to 14 days without affecting daily life. In addition, Bluetooth low energy (BLE), smartphone APP, analysis software and management platform have been added to the system for remote monitoring and whole process of heart health management. Clinical test to compare our wearable monitor with the Holter recorder are conducted on 108 groups under different ambulatory conditions. The results confirmed that it is equivalent to Holter in the clinical diagnosis of arrhythmia. This system can free patients from the short-range monitoring with lead wire entanglement to realize the long-term detection in daily life, early detection and early intervention; more convenient connections between patients and doctors, efficient use of medical resources, remote monitoring to reduce the burden of the medical and health system.
Keywords: ECG monitoring system, smart wearable device heart diseases, 24 hours Holter, long-term monitoring
DOI: 10.3233/JIFS-189715
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 3, pp. 4547-4557, 2021
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