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 |
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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 |
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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) |