Summary
International Conference on Emerging Technologies for Communications
2023
Session Number:P2
Session:
Number:P2-29
Motion artifact removal in R-R interval estimation of ECG signal for wearable biomedical sensors using adaptive filter and high pass filter
Yohei Arakawa, Tadao Nakagawa,
pp.-
Publication Date:2023/11/29
Online ISSN:2188-5079
Summary:
Clothing-type wearable electrocardiogram (ECG) sensors are effective for continuous long-term monitoring owing to their low physical burden. However, such sensors generate noise (motion artifacts) in the electrocardiogram (ECG) due to the subject's body motion. This outcome may result in unstable estimation accuracy because the electrodes are not attached to the body. In this study, we propose a method to improve the R-R interval estimation during exercise using digital signal processing. The R-R interval estimation by correlation matching and the motion artifact elimination method using a high-pass filter (HPF) and a recursive least squares (RLS) adaptive filter stabilized the estimation accuracy during motion.