Presentation 2018-11-06
Accurate Doppler Sensor-based Heartbeat Estimation by Reducing Body Movement Noise via CA-CFAR Applying Adaptive Guard Cell Length Approach
Ryosuke Hiromatsu, Tomoaki Ohtsuki, Kentaroh Toyoda, Kohei Yamamoto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is known that stress can be estimated by measuring heartbeat interval variation. Thus, many methods of non-contact heartbeat interval estimation using Doppler sensors have been studied. However, existing methods cannot a obtain sufficient estimation accuracy due to the influence of body movement. In this report, we propose a method to reduce the influence of body movement by applying CA-CFAR (Cell Average-Constant False Alerm Rate) which is used to prevent erroneous detection of radar signals in general, to the received signal. The proposed method first finds peaks that include heartbeats from the power of received Doppler signals. Since these peaks include not only the peak due to heartbeat but also that due to body movement, CA-CFAR using the threshold set using the before and after power is applied to remove the effect of non-stationary body movement. However, when the guard cell length in CA-CFAR is fixed, there is a possibility that the peak caused by the body movement may be erroneously detected as a heartbeat, because the threshold is affected by body movement. In our proposed method, erroneously detection is reduced by adaptively setting the guard cell length according to the heartbeat interval estimated before one time. In the conventional method, energy before and after was set for the threshold value , but only the before power is used in the proposed method. Experimental results show that the proposedmethod improves RMSE (Root Mean Squared Error) of estimated heartbeat interval compared with the method using CA-CFAR with fixed guard cell length.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Doppler sensor / Spectrogram / CFAR / Heartbeat interval estimation / Adaptive guard cell length
Paper # ASN2018-77
Date of Issue 2018-10-29 (ASN)

Conference Information
Committee ASN / SRW
Conference Date 2018/11/5(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Denki University, Tokyo Senju Campus
Topics (in Japanese) (See Japanese page)
Topics (in English) Poster session, etc.
Chair Hiraku Okada(Nagoya Univ.) / Tadao Nakagawa(Tottori Univ.)
Vice Chair Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Satoshi Denno(Okayama Univ.) / Makoto Hamaminato(Fujitsu labs.)
Secretary Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) / Satoshi Denno(Kyoto Univ.) / Makoto Hamaminato(Tokyo Inst. of Tech.)
Assistant Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) / Hiromasa Yamauchi(Fujitsu labs.) / Hanako Noda(Anritsu)

Paper Information
Registration To Technical Committee on Ambient intelligence and Sensor Networks / 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) Accurate Doppler Sensor-based Heartbeat Estimation by Reducing Body Movement Noise via CA-CFAR Applying Adaptive Guard Cell Length Approach
Sub Title (in English)
Keyword(1) Doppler sensor
Keyword(2) Spectrogram
Keyword(3) CFAR
Keyword(4) Heartbeat interval estimation
Keyword(5) Adaptive guard cell length
1st Author's Name Ryosuke Hiromatsu
1st Author's Affiliation Keio University(Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki
2nd Author's Affiliation Keio University(Keio Univ.)
3rd Author's Name Kentaroh Toyoda
3rd Author's Affiliation Keio University(Keio Univ.)
4th Author's Name Kohei Yamamoto
4th Author's Affiliation Keio University(Keio Univ.)
Date 2018-11-06
Paper # ASN2018-77
Volume (vol) vol.118
Number (no) ASN-282
Page pp.pp.131-136(ASN),
#Pages 6
Date of Issue 2018-10-29 (ASN)