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Article

Wearable Physiological Monitoring System Based on Electrocardiography and Electromyography for Upper Limb Rehabilitation Training

1
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong 999077, China
2
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China
3
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong 518118, China
4
Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(17), 4861; https://doi.org/10.3390/s20174861
Received: 4 August 2020 / Revised: 25 August 2020 / Accepted: 25 August 2020 / Published: 28 August 2020
(This article belongs to the Special Issue Wearable Sensors for Healthcare)
Secondary injuries are common during upper limb rehabilitation training because of uncontrollable physical force and overexciting activities, and long-time training may cause fatigue and reduce the training effect. This study proposes a wearable monitoring device for upper limb rehabilitation by integrating electrocardiogram and electromyogram (ECG/EMG) sensors and using data acquisition boards to obtain accurate signals during robotic glove assisting training. The collected ECG/EMG signals were filtered, amplified, digitized, and then transmitted to a remote receiver (smart phone or laptop) via a low-energy Bluetooth module. A software platform was developed for data analysis to visualize ECG/EMG information, and integrated into the robotic glove control module. In the training progress, various hand activities (i.e., hand closing, forearm pronation, finger flexion, and wrist extension) were monitored by the EMG sensor, and the changes in the physiological status of people (from excited to fatigue) were monitored by the ECG sensor. The functionality and feasibility of the developed physiological monitoring system was demonstrated by the assisting robotic glove with an adaptive strategy for upper limb rehabilitation training improvement. The feasible results provided a novel technique to monitor individual ECG and EMG information holistically and practically, and a technical reference to improve upper limb rehabilitation according to specific treatment conditions and the users’ demands. On the basis of this wearable monitoring system prototype for upper limb rehabilitation, many ECG-/EMG-based mobile healthcare applications could be built avoiding some complicated implementation issues such as sensors management and feature extraction. View Full-Text
Keywords: wearable physiological system; ECG/EMG sensing; upper limb; rehabilitation training; smart wearable device wearable physiological system; ECG/EMG sensing; upper limb; rehabilitation training; smart wearable device
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MDPI and ACS Style

Zhao, S.; Liu, J.; Gong, Z.; Lei, Y.; OuYang, X.; Chan, C.C.; Ruan, S. Wearable Physiological Monitoring System Based on Electrocardiography and Electromyography for Upper Limb Rehabilitation Training. Sensors 2020, 20, 4861. https://doi.org/10.3390/s20174861

AMA Style

Zhao S, Liu J, Gong Z, Lei Y, OuYang X, Chan CC, Ruan S. Wearable Physiological Monitoring System Based on Electrocardiography and Electromyography for Upper Limb Rehabilitation Training. Sensors. 2020; 20(17):4861. https://doi.org/10.3390/s20174861

Chicago/Turabian Style

Zhao, Shumi, Jianxun Liu, Zidan Gong, Yisong Lei, Xia OuYang, Chi C. Chan, and Shuangchen Ruan. 2020. "Wearable Physiological Monitoring System Based on Electrocardiography and Electromyography for Upper Limb Rehabilitation Training" Sensors 20, no. 17: 4861. https://doi.org/10.3390/s20174861

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