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- Publisher Website: 10.1109/JIOT.2020.3004046
- Scopus: eid_2-s2.0-85100265636
- WOS: WOS:000612146000004
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Article: ViMo: Multiperson Vital Sign Monitoring Using Commodity Millimeter-Wave Radio
Title | ViMo: Multiperson Vital Sign Monitoring Using Commodity Millimeter-Wave Radio |
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Authors | |
Keywords | smoothing spline Heart rate (HR) estimation respiration signal elimination wireless sensing 802.11ad technology |
Issue Date | 2021 |
Citation | IEEE Internet of Things Journal, 2021, v. 8, n. 3, p. 1294-1307 How to Cite? |
Abstract | The continuous development of 802.11ad technology provides new opportunities in wireless sensing. In this work, we propose ViMo, a calibration-free remote vital sign monitoring system that can detect stationary/nonstationary users and estimate the respiration rates (RRs) as well as heart rates (HRs) built upon a commercial 60-GHz WiFi. The design of ViMo consists of two key components. First, we design an adaptive object detector that can identify static objects, stationary human subjects, and human in motion without any calibration. Second, we devise a robust HR estimator, which eliminates the respiration signal from the phase of the channel impulse response (CIR) to remove the interference of the harmonics from breathing and adopts dynamic programming (DP) to resist the random measurement noise. The influence of different settings, including the distance between a human and the device, user orientation and incidental angle, blockage material, body movement, and conditions of multiuser separation is investigated by extensive experiments. The experimental results show that ViMo monitors user's vital signs accurately, with a median error of 0.19 and 0.92 breaths per minute (BPM), respectively, for RR and HR estimation. |
Persistent Identifier | http://hdl.handle.net/10722/303730 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Wang, Fengyu | - |
dc.contributor.author | Zhang, Feng | - |
dc.contributor.author | Wu, Chenshu | - |
dc.contributor.author | Wang, Beibei | - |
dc.contributor.author | Liu, K. J.Ray | - |
dc.date.accessioned | 2021-09-15T08:25:54Z | - |
dc.date.available | 2021-09-15T08:25:54Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | IEEE Internet of Things Journal, 2021, v. 8, n. 3, p. 1294-1307 | - |
dc.identifier.uri | http://hdl.handle.net/10722/303730 | - |
dc.description.abstract | The continuous development of 802.11ad technology provides new opportunities in wireless sensing. In this work, we propose ViMo, a calibration-free remote vital sign monitoring system that can detect stationary/nonstationary users and estimate the respiration rates (RRs) as well as heart rates (HRs) built upon a commercial 60-GHz WiFi. The design of ViMo consists of two key components. First, we design an adaptive object detector that can identify static objects, stationary human subjects, and human in motion without any calibration. Second, we devise a robust HR estimator, which eliminates the respiration signal from the phase of the channel impulse response (CIR) to remove the interference of the harmonics from breathing and adopts dynamic programming (DP) to resist the random measurement noise. The influence of different settings, including the distance between a human and the device, user orientation and incidental angle, blockage material, body movement, and conditions of multiuser separation is investigated by extensive experiments. The experimental results show that ViMo monitors user's vital signs accurately, with a median error of 0.19 and 0.92 breaths per minute (BPM), respectively, for RR and HR estimation. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Internet of Things Journal | - |
dc.subject | smoothing spline | - |
dc.subject | Heart rate (HR) estimation | - |
dc.subject | respiration signal elimination | - |
dc.subject | wireless sensing | - |
dc.subject | 802.11ad technology | - |
dc.title | ViMo: Multiperson Vital Sign Monitoring Using Commodity Millimeter-Wave Radio | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/JIOT.2020.3004046 | - |
dc.identifier.scopus | eid_2-s2.0-85100265636 | - |
dc.identifier.volume | 8 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 1294 | - |
dc.identifier.epage | 1307 | - |
dc.identifier.eissn | 2327-4662 | - |
dc.identifier.isi | WOS:000612146000004 | - |