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Conference Paper: Radio frequency based heart rate variability monitoring

TitleRadio frequency based heart rate variability monitoring
Authors
KeywordsHeart Rate Variability (HRV)
Heartbeat estimation
Wireless sensing
Millimeter-wave radio
Issue Date2021
PublisherIEEE.
Citation
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Toronto, Canada, 6-11 June 2021. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021, p. 8007-8011 How to Cite?
AbstractHeart 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.
Persistent Identifierhttp://hdl.handle.net/10722/303892
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, F-
dc.contributor.authorZeng, X-
dc.contributor.authorWu, C-
dc.contributor.authorWang, B-
dc.contributor.authorLiu, KJR-
dc.date.accessioned2021-09-23T07:37:24Z-
dc.date.available2021-09-23T07:37:24Z-
dc.date.issued2021-
dc.identifier.citation2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), Toronto, Canada, 6-11 June 2021. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021, p. 8007-8011-
dc.identifier.issn2379-190X-
dc.identifier.urihttp://hdl.handle.net/10722/303892-
dc.description.abstractHeart 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.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofProceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing-
dc.subjectHeart Rate Variability (HRV)-
dc.subjectHeartbeat estimation-
dc.subjectWireless sensing-
dc.subjectMillimeter-wave radio-
dc.titleRadio frequency based heart rate variability monitoring-
dc.typeConference_Paper-
dc.identifier.emailWu, C: cswu@hku.hk-
dc.identifier.authorityWu, C=rp02858-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICASSP39728.2021.9413465-
dc.identifier.scopuseid_2-s2.0-85114891277-
dc.identifier.hkuros700003976-
dc.identifier.spage8007-
dc.identifier.epage8011-
dc.identifier.isiWOS:000704288408058-
dc.publisher.placeUnited States-

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