Presentation 2018-08-20
Motion artifact removal in electrocardiogram estimation using wearable biosensors
Shohei Kozuki, Tadao Nakagawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Long-term electrocardiogram monitoring with wearable biosensors is attracting attention in healthcare application. Wearable biosensors, however, are highly susceptible to motion artifacts. In this paper. we report motion artifact removal technique by using adaptive filters. The cross-correlation is used for evaluation of electrocardiogram estimation performance. Signal similarity of electrocardiogram with and without motion artifacts is evaluated.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) wearable / biosensor / motion artifact / adaptive filter
Paper # SRW2018-17
Date of Issue 2018-08-13 (SRW)

Conference Information
Committee SRW
Conference Date 2018/8/20(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Okayama Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Network, MAC, Sensor technology, mmWave, etc.
Chair Tadao Nakagawa(Tottori Univ.)
Vice Chair Satoshi Denno(Okayama Univ.) / Makoto Hamaminato(Fujitsu labs.)
Secretary Satoshi Denno(Kyoto Univ.) / Makoto Hamaminato(Tokyo Inst. of Tech.)
Assistant Hiromasa Yamauchi(Fujitsu labs.) / Hanako Noda(Anritsu)

Paper Information
Registration To Technical Committee on Short Range Wireless Communications
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Motion artifact removal in electrocardiogram estimation using wearable biosensors
Sub Title (in English)
Keyword(1) wearable
Keyword(2) biosensor
Keyword(3) motion artifact
Keyword(4) adaptive filter
1st Author's Name Shohei Kozuki
1st Author's Affiliation Tottori University(Tottori Univ.)
2nd Author's Name Tadao Nakagawa
2nd Author's Affiliation Tottori University(Tottori Univ.)
Date 2018-08-20
Paper # SRW2018-17
Volume (vol) vol.118
Number (no) SRW-183
Page pp.pp.47-50(SRW),
#Pages 4
Date of Issue 2018-08-13 (SRW)