| Presentation | 2023-03-02 Motion artifact removal in R-R interval estimation of ECG signal for wearable biomedical sensors using slope information and adaptive filters Yohei Arakawa, Tadao Nakagawa, |
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| 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 placing a burden on the body, it is difficult to obtain accurate biomedical information due to motion artifacts caused by human movement. In the past, 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, but the accuracy was not sufficient. In this paper, we propose a method to improve the accuracy of R-wave estimation by employing an RLS adaptive filter that has a faster convergence speed than the previously used LMS adaptive filter, and report the improvement in estimation accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | wearable biomedical sensor / motion artifact / adaptive filter / QRS complex detection / correlation coefficient / R-R interval / electrocardiogram |
| Paper # | SRW2022-52 |
| Date of Issue | 2023-02-22 (SRW) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2023/3/1(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology, and Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Kenichi Higuchi(Tokyo Univ. of Science) / Suguru Kameda(Hiroshima Univ.) / Hanako Noda(Anritsu) |
| Vice Chair | Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) |
| Secretary | Tomoya Tandai(Panasonic) / Fumihide Kojima(Univ. of Electro-Comm) / Osamu Muta(Sharp) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT) / Keiichi Mizutani(KUT) / Kentaro Saito(NIigata Univ.) / Hirokazu Sawada |
| Assistant | Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Mai Ohta(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Katsuya Suto(Univ. of Electro-Comm) / Maki Arai(Nihon Univ.) / Yuichi Masuda(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| 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 slope information and adaptive filters |
| Sub Title (in English) | |
| Keyword(1) | wearable biomedical sensor |
| Keyword(2) | motion artifact |
| Keyword(3) | adaptive filter |
| Keyword(4) | QRS complex detection |
| 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 | 2023-03-02 |
| Paper # | SRW2022-52 |
| Volume (vol) | vol.122 |
| Number (no) | SRW-401 |
| Page | pp.pp.47-51(SRW), |
| #Pages | 5 |
| Date of Issue | 2023-02-22 (SRW) |