期刊
SENSORS
卷 22, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/s22010104
关键词
ECG; EMG sensing; physiological monitor; smart wearable device; wireless communication; rehabilitation training
资金
- National Research Foundation of Korea [NRF-2019R1C1C1011235, NRF-2020M3A9E4104385]
- IDEC
This paper presents a wireless physiological signal acquisition device and a smartphone-based software platform for real-time data processing and monitoring. The device is compact and can wirelessly transmit biopotentials to a smartphone or laptop for real-time monitoring, recording, and analysis. It has been demonstrated to accurately capture ECG and EMG signals, making it a useful tool for predicting and treating cardiac patients and facilitating motor recovery after a stroke.
The acquisition of physiological data are essential to efficiently predict and treat cardiac patients before a heart attack occurs and effectively expedite motor recovery after a stroke. This goal can be achieved by using wearable wireless sensor network platforms for real-time healthcare monitoring. In this paper, we present a wireless physiological signal acquisition device and a smartphone-based software platform for real-time data processing and monitor and cloud server access for everyday ECG/EMG signal monitoring. The device is implemented in a compact size (diameter: 30 mm, thickness: 4.5 mm) where the biopotential is measured and wirelessly transmitted to a smartphone or a laptop for real-time monitoring, data recording and analysis. Adaptive digital filtering is applied to eliminate any interference noise that can occur during a regular at-home environment, while minimizing the data process time. The accuracy of ECG and EMG signal coverage is assessed using Bland-Altman analysis by comparing with a reference physiological signal acquisition instrument (RHS2116 Stim/Recording System, Intan). Signal coverage of R-R peak intervals showed almost identical outcome between this proposed work and the RHS2116, showing a mean difference in heart rate of 0.15 +/- 4.65 bpm and a Wilcoxon's p value of 0.133. A 24 h continuous recording session of ECG and EMG is conducted to demonstrate the robustness and stability of the device based on extended time wearability on a daily routine.
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