Presentation 2023-07-20
Motion artifact removal in R-R interval estimation of ECG signal for wearable biomedical sensors using adaptive filter and highpass filter
Yohei Arakawa, Tadao Nakagawa,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) The development of medical technology has facilitated the acquisition of biomedical information such as electrocardiograms using wearable devices, making it possible to easily monitor the state of a subject's heart and other organs. However, when measurements are made with a wearable biomedical sensor, which enables long-term monitoring without burdening the body, it is difficult to obtain accurate biomedical information due to motion artifacts caused by human movement. This problem was solved by removing motion artifacts with an adaptive filter, QRS complex detection using slope information, and R-wave estimation using correlation coefficients. Nevertheless, the estimation accuracy is still insufficient in some cases, leaving room for improvement. In this paper, we propose a method to improve the accuracy of R-wave estimation by using a high-pass filter to remove the frequency component of noise generated by body motion in addition to R-wave estimation using an adaptive filter and correlation coefficient and report the improvement in estimation accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) wearable biomedical sensor / motion artifact / adaptive filter / high-pass filter / correlation coefficient / R-R interval / electrocardiogram
Paper # WBS2023-13,SRW2023-11,MICT2023-10
Date of Issue 2023-07-13 (WBS, SRW, MICT)

Conference Information
Committee SRW / MICT / WBS
Conference Date 2023/7/20(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Niigata Univ. TOKIMATE
Topics (in Japanese) (See Japanese page)
Topics (in English) Network, MAC, WBAN, Sensor, mmWave, Medical and Healthcare ICT, Wideband (radio and optical) communications system, etc., Student poster session
Chair Keiichi Mizutani(Kyoto Univ.) / Hirokazu Tanaka(Hiroshima City Univ.) / Takashi Shono(Wind River)
Vice Chair Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) / Chika Sugimoto(Yokohama National Univ.) / Daisuke Anzai(Nagoya Inst. of Tech.) / Hiroyasu Ishikawa(Nihon Univ.) / Hideki Ochiai(Yokohama National Univ.)
Secretary Kentaro Saito(Kochi Univ, of Tech.) / Hirokazu Sawada(Niigata Univ.) / Chika Sugimoto(Toyo Univ.) / Daisuke Anzai(Hiroshima City Univ) / Hiroyasu Ishikawa(Okayama Prefectural Univ.) / Hideki Ochiai(Meijo Univ.)
Assistant Maki Arai(Tokyo Univ. of Science) / Yusuke Kouda(Kyoto Univ.) / Dairoku Muramatsu(Univ. of Electro & Comm.) / Natsuki Nakayama(Nagoya Univ.) / Ami Tanaka(Ritsumeikan Univ.) / Kun Li(Kagawa Univ.) / Chen Na(NAIST) / Taishi Watanabe(KDDI Research)

Paper Information
Registration To Technical Committee on Short Range Wireless Communications / Technical Committee on Healthcare and Medical Information Communication Technology / Technical Committee on Wideband System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Motion artifact removal in R-R interval estimation of ECG signal for wearable biomedical sensors using adaptive filter and highpass filter
Sub Title (in English)
Keyword(1) wearable biomedical sensor
Keyword(2) motion artifact
Keyword(3) adaptive filter
Keyword(4) high-pass filter
Keyword(5) correlation coefficient
Keyword(6) R-R interval
Keyword(7) electrocardiogram
1st Author's Name Yohei Arakawa
1st Author's Affiliation Tottori University(Tottori Univ.)
2nd Author's Name Tadao Nakagawa
2nd Author's Affiliation Tottori University(Tottori Univ.)
Date 2023-07-20
Paper # WBS2023-13,SRW2023-11,MICT2023-10
Volume (vol) vol.123
Number (no) WBS-120,SRW-121,MICT-122
Page pp.pp.1-6(WBS), pp.1-6(SRW), pp.1-6(MICT),
#Pages 6
Date of Issue 2023-07-13 (WBS, SRW, MICT)