Improved Contactless Heartbeat Estimation in FMCW Radar via Kalman Filter Tracking
Radar systems enable a contactless, noninvasive method to simultaneously monitor the respiration and heart rate of a human target. To enhance the stability and accuracy of the detected heart rate, this letter introduces a Kalman filter-based tracking of the heartbeat signal. After providing a first...
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description | Radar systems enable a contactless, noninvasive method to simultaneously monitor the respiration and heart rate of a human target. To enhance the stability and accuracy of the detected heart rate, this letter introduces a Kalman filter-based tracking of the heartbeat signal. After providing a first rough estimation, the bandwidth of the applied band-pass filter is successively narrowed down, and the filter limits are steadily updated with respect to the current heart rate of the target. Measurement segments with random body movements are automatically identified and consequentially ignored for the Kalman filter update. The functionality of the proposed algorithm is proven by various verification measurements using a 60-GHz frequency-modulated continuous-wave radar system. The determined heart rates are compared to the output of a commercial chest belt. Measurement data with common breathing, as well as during breath-holding, were recorded for 14 different subjects. |
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To enhance the stability and accuracy of the detected heart rate, this letter introduces a Kalman filter-based tracking of the heartbeat signal. After providing a first rough estimation, the bandwidth of the applied band-pass filter is successively narrowed down, and the filter limits are steadily updated with respect to the current heart rate of the target. Measurement segments with random body movements are automatically identified and consequentially ignored for the Kalman filter update. The functionality of the proposed algorithm is proven by various verification measurements using a 60-GHz frequency-modulated continuous-wave radar system. The determined heart rates are compared to the output of a commercial chest belt. Measurement data with common breathing, as well as during breath-holding, were recorded for 14 different subjects.</description><identifier>ISSN: 2475-1472</identifier><identifier>EISSN: 2475-1472</identifier><identifier>DOI: 10.1109/LSENS.2020.2983706</identifier><identifier>CODEN: ISLECD</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>adaptive filtering ; Algorithms ; Bandpass filters ; Bandwidths ; Chirp ; Continuous wave radar ; Estimation ; frequency-modulated continuous-wave (FMCW) radar ; Heart rate ; Kalman filter ; Kalman filters ; Radar ; Radar equipment ; Radar tracking ; Respiration ; Sensor signal processing ; Sensors ; Signal processing algorithms ; Tracking radar ; vital sensing</subject><ispartof>IEEE sensors letters, 2020-05, Vol.4 (5), p.1-4</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-5b74b2d6bfa6e523bd56cf3ff6e94ea0a0d9e9fb54663f65002bf3b743d98b263</citedby><cites>FETCH-LOGICAL-c295t-5b74b2d6bfa6e523bd56cf3ff6e94ea0a0d9e9fb54663f65002bf3b743d98b263</cites><orcidid>0000-0002-8156-3387 ; 0000-0002-1492-1551</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9050888$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9050888$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Arsalan, Muhammad</creatorcontrib><creatorcontrib>Santra, Avik</creatorcontrib><creatorcontrib>Will, Christoph</creatorcontrib><title>Improved Contactless Heartbeat Estimation in FMCW Radar via Kalman Filter Tracking</title><title>IEEE sensors letters</title><addtitle>LSENS</addtitle><description>Radar systems enable a contactless, noninvasive method to simultaneously monitor the respiration and heart rate of a human target. To enhance the stability and accuracy of the detected heart rate, this letter introduces a Kalman filter-based tracking of the heartbeat signal. After providing a first rough estimation, the bandwidth of the applied band-pass filter is successively narrowed down, and the filter limits are steadily updated with respect to the current heart rate of the target. Measurement segments with random body movements are automatically identified and consequentially ignored for the Kalman filter update. The functionality of the proposed algorithm is proven by various verification measurements using a 60-GHz frequency-modulated continuous-wave radar system. The determined heart rates are compared to the output of a commercial chest belt. Measurement data with common breathing, as well as during breath-holding, were recorded for 14 different subjects.</description><subject>adaptive filtering</subject><subject>Algorithms</subject><subject>Bandpass filters</subject><subject>Bandwidths</subject><subject>Chirp</subject><subject>Continuous wave radar</subject><subject>Estimation</subject><subject>frequency-modulated continuous-wave (FMCW) radar</subject><subject>Heart rate</subject><subject>Kalman filter</subject><subject>Kalman filters</subject><subject>Radar</subject><subject>Radar equipment</subject><subject>Radar tracking</subject><subject>Respiration</subject><subject>Sensor signal processing</subject><subject>Sensors</subject><subject>Signal processing algorithms</subject><subject>Tracking radar</subject><subject>vital sensing</subject><issn>2475-1472</issn><issn>2475-1472</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkFFLwzAQx4MoOHRfQF8CPndekyZtHqVsbjgVtomPIWkT6ezamWQDv72ZG-LTHcf_d8f9ELpJYZSmIO7ny_HLckSAwIiIgubAz9CAZDlL0iwn5__6SzT0fg0AaUFyoDBAi9lm6_q9qXHZd0FVoTXe46lRLmijAh770GxUaPoONx2ePJfveKFq5fC-UfhJtRsVp00bjMMrp6rPpvu4RhdWtd4MT_UKvU3Gq3KazF8fZ-XDPKmIYCFhOs80qbm2ihtGqK4Zryy1lhuRGQUKamGE1SzjnFrOAIi2NEK0FoUmnF6hu-Pe-MDXzvgg1_3OdfGkJBmQTFCSi5gix1Tleu-dsXLr4kfuW6YgD_rkrz550CdP-iJ0e4QaY8wfIIBBURT0B5Xia0Y</recordid><startdate>20200501</startdate><enddate>20200501</enddate><creator>Arsalan, Muhammad</creator><creator>Santra, Avik</creator><creator>Will, Christoph</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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To enhance the stability and accuracy of the detected heart rate, this letter introduces a Kalman filter-based tracking of the heartbeat signal. After providing a first rough estimation, the bandwidth of the applied band-pass filter is successively narrowed down, and the filter limits are steadily updated with respect to the current heart rate of the target. Measurement segments with random body movements are automatically identified and consequentially ignored for the Kalman filter update. The functionality of the proposed algorithm is proven by various verification measurements using a 60-GHz frequency-modulated continuous-wave radar system. The determined heart rates are compared to the output of a commercial chest belt. 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subjects | adaptive filtering Algorithms Bandpass filters Bandwidths Chirp Continuous wave radar Estimation frequency-modulated continuous-wave (FMCW) radar Heart rate Kalman filter Kalman filters Radar Radar equipment Radar tracking Respiration Sensor signal processing Sensors Signal processing algorithms Tracking radar vital sensing |
title | Improved Contactless Heartbeat Estimation in FMCW Radar via Kalman Filter Tracking |
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