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Radio Frequency Based Heart Rate Variability Monitoring
Heart Rate Variability (HRV), which measures the fluctuation of heartbeat intervals, has been considered as an important indicator for general health evaluation. In this paper, we present mmHRV, a contact-free HRV monitoring system using commercial millimeter-wave (mmWave) radio. We devise a heartbe...
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creator | Wang, Fengyu Zeng, Xiaolu Wu, Chenshu Wang, Beibei Ray Liu, K. J. |
description | Heart Rate Variability (HRV), which measures the fluctuation of heartbeat intervals, has been considered as an important indicator for general health evaluation. In this paper, we present mmHRV, a contact-free HRV monitoring system using commercial millimeter-wave (mmWave) radio. We devise a heartbeat signal extractor, which can optimize the decomposition of the phase of the channel information modulated by the chest movement, and thus estimate the heartbeat signal. The exact time of heartbeats is estimated by finding the peak location of the heartbeat signal while the Inter-Beat Intervals (IBIs) can be further derived for evaluating the HRV metrics. Experimental results show that mmHRV can measure the HRV accurately with 3.68ms average error of mean IBI (w.r.t. 99.49% accuracy) based on the experiments over 10 participants. |
doi_str_mv | 10.1109/ICASSP39728.2021.9413465 |
format | conference_proceeding |
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J.</creator><creatorcontrib>Wang, Fengyu ; Zeng, Xiaolu ; Wu, Chenshu ; Wang, Beibei ; Ray Liu, K. J.</creatorcontrib><description>Heart Rate Variability (HRV), which measures the fluctuation of heartbeat intervals, has been considered as an important indicator for general health evaluation. In this paper, we present mmHRV, a contact-free HRV monitoring system using commercial millimeter-wave (mmWave) radio. We devise a heartbeat signal extractor, which can optimize the decomposition of the phase of the channel information modulated by the chest movement, and thus estimate the heartbeat signal. The exact time of heartbeats is estimated by finding the peak location of the heartbeat signal while the Inter-Beat Intervals (IBIs) can be further derived for evaluating the HRV metrics. Experimental results show that mmHRV can measure the HRV accurately with 3.68ms average error of mean IBI (w.r.t. 99.49% accuracy) based on the experiments over 10 participants.</description><identifier>EISSN: 2379-190X</identifier><identifier>EISBN: 9781728176055</identifier><identifier>EISBN: 1728176050</identifier><identifier>DOI: 10.1109/ICASSP39728.2021.9413465</identifier><language>eng</language><publisher>IEEE</publisher><subject>Atmospheric measurements ; Channel estimation ; Heart Rate Variability (HRV) ; heartbeat estimation ; Millimeter wave measurements ; Millimeter wave radar ; millimeter-wave radio ; Particle measurements ; Sensors ; Signal processing ; wireless sensing</subject><ispartof>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, p.8007-8011</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9413465$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9413465$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wang, Fengyu</creatorcontrib><creatorcontrib>Zeng, Xiaolu</creatorcontrib><creatorcontrib>Wu, Chenshu</creatorcontrib><creatorcontrib>Wang, Beibei</creatorcontrib><creatorcontrib>Ray Liu, K. 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Experimental results show that mmHRV can measure the HRV accurately with 3.68ms average error of mean IBI (w.r.t. 99.49% accuracy) based on the experiments over 10 participants.</description><subject>Atmospheric measurements</subject><subject>Channel estimation</subject><subject>Heart Rate Variability (HRV)</subject><subject>heartbeat estimation</subject><subject>Millimeter wave measurements</subject><subject>Millimeter wave radar</subject><subject>millimeter-wave radio</subject><subject>Particle measurements</subject><subject>Sensors</subject><subject>Signal processing</subject><subject>wireless sensing</subject><issn>2379-190X</issn><isbn>9781728176055</isbn><isbn>1728176050</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2021</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKAzEUhqMgWGufwE1eYMaTy-QkSy3WChWlVXFXcjlKpM5oZlz07TtgV_9l8fP9jHEBtRDgrh_mN5vNs3IobS1BitppobRpTtjMoRVjLdBA05yyiVToKuHg_Zxd9P0XAFjUdsJw7VPu-KLQ7x-1cc9vfU-JL8mXga_9QPzNl-xD3uVhzx-7Ng9dye3nJTv78LueZkedstfF3ct8Wa2e7kesVZUlqKGKmJAAVQjRpiiDJOW1x-S1NjYZE9A1YrRKaJUsjDmaGLUMYLAZCdWUXf3vZiLa_pT87ct-e_ypDn6YR00</recordid><startdate>20210606</startdate><enddate>20210606</enddate><creator>Wang, Fengyu</creator><creator>Zeng, Xiaolu</creator><creator>Wu, Chenshu</creator><creator>Wang, Beibei</creator><creator>Ray Liu, K. 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J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wang, Fengyu</au><au>Zeng, Xiaolu</au><au>Wu, Chenshu</au><au>Wang, Beibei</au><au>Ray Liu, K. J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Radio Frequency Based Heart Rate Variability Monitoring</atitle><btitle>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</btitle><stitle>ICASSP</stitle><date>2021-06-06</date><risdate>2021</risdate><spage>8007</spage><epage>8011</epage><pages>8007-8011</pages><eissn>2379-190X</eissn><eisbn>9781728176055</eisbn><eisbn>1728176050</eisbn><abstract>Heart Rate Variability (HRV), which measures the fluctuation of heartbeat intervals, has been considered as an important indicator for general health evaluation. In this paper, we present mmHRV, a contact-free HRV monitoring system using commercial millimeter-wave (mmWave) radio. We devise a heartbeat signal extractor, which can optimize the decomposition of the phase of the channel information modulated by the chest movement, and thus estimate the heartbeat signal. The exact time of heartbeats is estimated by finding the peak location of the heartbeat signal while the Inter-Beat Intervals (IBIs) can be further derived for evaluating the HRV metrics. Experimental results show that mmHRV can measure the HRV accurately with 3.68ms average error of mean IBI (w.r.t. 99.49% accuracy) based on the experiments over 10 participants.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP39728.2021.9413465</doi><tpages>5</tpages></addata></record> |
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subjects | Atmospheric measurements Channel estimation Heart Rate Variability (HRV) heartbeat estimation Millimeter wave measurements Millimeter wave radar millimeter-wave radio Particle measurements Sensors Signal processing wireless sensing |
title | Radio Frequency Based Heart Rate Variability Monitoring |
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