Department of Electrical Engineering and Computer Science
Integrated Nano-Systems Laboratory
1. Journal Articles
A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts
- Title
- A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts
- Author(s)
- Seol, Tae Ryoung ; Lee, Se Hwan ; Lee, Jung Hyup
- DGIST Authors
- Seol, Tae Ryoung ; Lee, Se Hwan ; Lee, Jung Hyup
- Issued Date
- 2021-01
- Type
- Article
- Article Type
- Article
- Author Keywords
- Adaptive filtering Electrocardiogram (ECG) ; Mean Squared Error (MSE) ; Motion artifact
- ISSN
- 2384-2113
- Abstract
- This study proposes a wearable system that can measure electrocardiogram (ECG) signals reliably in an environment with high motion artifacts. This system employs a motion artifact extraction method based on a triple-axis accelerometer attached to each electrode independently to remove motion artifacts from ECG signals with high performance. Recursive Least Square (RLS) and Least Mean Square (LMS) algorithms remove extracted noise from the source signals, thereby obtaining a mean square error (MSE) of 0.0166 when using RLS and 0.0160 when using LMS. This means that the performance improved respectively by approximately 5.1% and 8.6% compared to that of the recently developed ECG monitoring system.
- Publisher
- 반도체설계교육센터
- Related Researcher
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Lee, Junghyup
- Research Interests Analog and Mixed Signal IC Design; Smart Sensor Systems; Bio-medical ICs and Body Channel Communication Systems
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