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A Real-Time Wearable Physiological Monitoring System for Home-Based Healthcare Applications
Jin-Woo Jeong1, Woochan Lee2, Young-Joon Kim1
1Department of Electronic Engineering, Gachon University, Seongnam 13120, Korea.
Sensors (Basel, Switzerland)
|January 11, 2022
Summary
This study introduces a compact wireless device for real-time electrocardiogram (ECG) and electromyogram (EMG) monitoring. The system demonstrates accurate physiological signal acquisition for remote healthcare and rehabilitation applications.
Area of Science:
- Biomedical Engineering
- Wearable Technology
- Signal Processing
Background:
- Real-time physiological data acquisition is crucial for proactive cardiac care and post-stroke rehabilitation.
- Wearable wireless sensor networks offer a promising solution for continuous healthcare monitoring.
Purpose of the Study:
- To present a compact wireless device for acquiring electrocardiogram (ECG) and electromyogram (EMG) signals.
- To develop a smartphone-based platform for real-time processing, monitoring, and cloud access of physiological data.
- To validate the accuracy and stability of the device for everyday use.
Main Methods:
- Development of a miniaturized wireless physiological signal acquisition device (30mm diameter, 4.5mm thickness).
- Implementation of a smartphone application for data processing, monitoring, and cloud connectivity.
- Application of adaptive digital filtering to minimize noise and processing time.
- Validation using Bland-Altman analysis against a reference system (RHS2116).
Main Results:
- The device achieved near-identical R-R peak interval measurements compared to the reference system (mean heart rate difference: 0.15 ± 4.65 bpm, p=0.133).
- Adaptive filtering effectively reduced interference noise while maintaining signal integrity.
- A 24-hour continuous recording demonstrated the device's robustness and stability for long-term wearability.
Conclusions:
- The developed wireless device and software platform provide accurate and reliable real-time ECG/EMG monitoring.
- The system is suitable for continuous, everyday physiological signal monitoring in home environments.
- This technology supports remote patient management for cardiac conditions and stroke recovery.
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