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A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts

Title
A Wearable Electrocardiogram Monitoring System Robust to Motion Artifacts
Authors
Seol, Tae RyoungLee, Se HwanLee, Jung Hyup
DGIST Authors
Lee, Jung Hyup
Issue Date
2021-01
Citation
IDEC Journal of Integrated Circuits and Systems, 7(1), 1-5
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.
URI
http://hdl.handle.net/20.500.11750/12733
Publisher
반도체설계교육센터
Related Researcher
  • Author Lee, Junghyup Integrated Nano-Systems Laboratory
  • Research Interests Analog and Mixed Signal IC Design; Smart Sensor Systems; Bio-medical ICs and Body Channel Communication Systems
Files:
There are no files associated with this item.
Collection:
Department of Information and Communication EngineeringIntegrated Nano-Systems Laboratory1. Journal Articles


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