Robust Radar-based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections
In this paper, we propose a non-contact vital sign monitoring algorithm based on 60GHz Frequency Modulated Continuous Wave (FMCW) radar. At the heart of the algorithm is a bank of sinc filters covering the heart and respiratory frequencies of an healthy adult. The filter bank is adapted, in successi...
Gespeichert in:
| Veröffentlicht in: | IEEE sensors letters 2023-05, Vol.7 (5), p.1-4 |
|---|---|
| Hauptverfasser: | , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 4 |
|---|---|
| container_issue | 5 |
| container_start_page | 1 |
| container_title | IEEE sensors letters |
| container_volume | 7 |
| creator | Hazra, Souvik Fusco, Alessandra Kiprit, Gamze Naz Stadelmayer, Thomas Habib, Sarfaraz Servadei, Lorenzo Wille, Robert Weigel, Robert Santra, Avik |
| description | In this paper, we propose a non-contact vital sign monitoring algorithm based on 60GHz Frequency Modulated Continuous Wave (FMCW) radar. At the heart of the algorithm is a bank of sinc filters covering the heart and respiratory frequencies of an healthy adult. The filter bank is adapted, in successive iterations, to the specific cardio-respiratory frequencies of the monitored subject. The adaptability of the algorithm ensures an accurate estimate of Heart Rate (HR) and Respiratory Rate(RR) for a subject sitting in front of the radar at a distance between 0.3m to 1.1m while being robust to minor body movements and harmonics. The efficiency of the solution is demonstrated on an experimental data set including recordings of 10 subjects, where we obtain an Root Mean Square Error (RMSE) of 6.16 bpm for HR and 2.09 rpm for RR. |
| doi_str_mv | 10.1109/LSENS.2023.3266237 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2806222313</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10098858</ieee_id><sourcerecordid>2806222313</sourcerecordid><originalsourceid>FETCH-LOGICAL-c296t-1be8113081c682de3c86131720e4da701295fd71bd09f22c9e8a6ee21b71cad13</originalsourceid><addsrcrecordid>eNpNkE1PwkAQhjdGEwnyB4yHTTwXd2ah3R6RgJqgJtSP42a7O9Ul0GK3mPDvbYUDp3mTeZ-Z5GHsGsQQQKR3i2z2kg1RoBxKjGOUyRnr4SgZRzBK8PwkX7JBCCshBChMhBQ9ppdVvgsNXxpn6ig3gRz_8I1Z84zK4Msv_umbbz5xZtv4X-KZLy2f-3VDdbc0pWvR0lUbfl-5PX-uGl-VfEkrsl0KV-yiMOtAg-Pss_f57G36GC1eH56mk0VkMY2bCHJSAFIosLFCR9KqGCQkKGjkTCIA03HhEsidSAtEm5IyMRFCnoA1DmSf3R7ubuvqZ0eh0atqV5ftS41KxIgoQbYtPLRsXYVQU6G3td-Yeq9B6M6l_nepO5f66LKFbg6QJ6ITQKRKjZX8A8Ptb1Y</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2806222313</pqid></control><display><type>article</type><title>Robust Radar-based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections</title><source>IEEE Electronic Library (IEL)</source><creator>Hazra, Souvik ; Fusco, Alessandra ; Kiprit, Gamze Naz ; Stadelmayer, Thomas ; Habib, Sarfaraz ; Servadei, Lorenzo ; Wille, Robert ; Weigel, Robert ; Santra, Avik</creator><creatorcontrib>Hazra, Souvik ; Fusco, Alessandra ; Kiprit, Gamze Naz ; Stadelmayer, Thomas ; Habib, Sarfaraz ; Servadei, Lorenzo ; Wille, Robert ; Weigel, Robert ; Santra, Avik</creatorcontrib><description>In this paper, we propose a non-contact vital sign monitoring algorithm based on 60GHz Frequency Modulated Continuous Wave (FMCW) radar. At the heart of the algorithm is a bank of sinc filters covering the heart and respiratory frequencies of an healthy adult. The filter bank is adapted, in successive iterations, to the specific cardio-respiratory frequencies of the monitored subject. The adaptability of the algorithm ensures an accurate estimate of Heart Rate (HR) and Respiratory Rate(RR) for a subject sitting in front of the radar at a distance between 0.3m to 1.1m while being robust to minor body movements and harmonics. The efficiency of the solution is demonstrated on an experimental data set including recordings of 10 subjects, where we obtain an Root Mean Square Error (RMSE) of 6.16 bpm for HR and 2.09 rpm for RR.</description><identifier>ISSN: 2475-1472</identifier><identifier>EISSN: 2475-1472</identifier><identifier>DOI: 10.1109/LSENS.2023.3266237</identifier><identifier>CODEN: ISLECD</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Algorithms ; Continuous radiation ; Estimation ; Filter banks ; Filtering algorithms ; FMCW radar ; Heart rate ; Low-pass filters ; Monitoring ; Radar ; remote monitoring ; Respiratory rate ; Root-mean-square errors ; vital signs</subject><ispartof>IEEE sensors letters, 2023-05, Vol.7 (5), p.1-4</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c296t-1be8113081c682de3c86131720e4da701295fd71bd09f22c9e8a6ee21b71cad13</citedby><cites>FETCH-LOGICAL-c296t-1be8113081c682de3c86131720e4da701295fd71bd09f22c9e8a6ee21b71cad13</cites><orcidid>0000-0002-4993-7860 ; 0000-0001-9949-6656 ; 0000-0002-8691-6612 ; 0000-0002-3131-1800 ; 0000-0003-4322-834X ; 0009-0006-4597-2681 ; 0000-0002-8156-3387</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10098858$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,777,781,793,27905,27906,54739</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10098858$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hazra, Souvik</creatorcontrib><creatorcontrib>Fusco, Alessandra</creatorcontrib><creatorcontrib>Kiprit, Gamze Naz</creatorcontrib><creatorcontrib>Stadelmayer, Thomas</creatorcontrib><creatorcontrib>Habib, Sarfaraz</creatorcontrib><creatorcontrib>Servadei, Lorenzo</creatorcontrib><creatorcontrib>Wille, Robert</creatorcontrib><creatorcontrib>Weigel, Robert</creatorcontrib><creatorcontrib>Santra, Avik</creatorcontrib><title>Robust Radar-based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections</title><title>IEEE sensors letters</title><addtitle>LSENS</addtitle><description>In this paper, we propose a non-contact vital sign monitoring algorithm based on 60GHz Frequency Modulated Continuous Wave (FMCW) radar. At the heart of the algorithm is a bank of sinc filters covering the heart and respiratory frequencies of an healthy adult. The filter bank is adapted, in successive iterations, to the specific cardio-respiratory frequencies of the monitored subject. The adaptability of the algorithm ensures an accurate estimate of Heart Rate (HR) and Respiratory Rate(RR) for a subject sitting in front of the radar at a distance between 0.3m to 1.1m while being robust to minor body movements and harmonics. The efficiency of the solution is demonstrated on an experimental data set including recordings of 10 subjects, where we obtain an Root Mean Square Error (RMSE) of 6.16 bpm for HR and 2.09 rpm for RR.</description><subject>Algorithms</subject><subject>Continuous radiation</subject><subject>Estimation</subject><subject>Filter banks</subject><subject>Filtering algorithms</subject><subject>FMCW radar</subject><subject>Heart rate</subject><subject>Low-pass filters</subject><subject>Monitoring</subject><subject>Radar</subject><subject>remote monitoring</subject><subject>Respiratory rate</subject><subject>Root-mean-square errors</subject><subject>vital signs</subject><issn>2475-1472</issn><issn>2475-1472</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1PwkAQhjdGEwnyB4yHTTwXd2ah3R6RgJqgJtSP42a7O9Ul0GK3mPDvbYUDp3mTeZ-Z5GHsGsQQQKR3i2z2kg1RoBxKjGOUyRnr4SgZRzBK8PwkX7JBCCshBChMhBQ9ppdVvgsNXxpn6ig3gRz_8I1Z84zK4Msv_umbbz5xZtv4X-KZLy2f-3VDdbc0pWvR0lUbfl-5PX-uGl-VfEkrsl0KV-yiMOtAg-Pss_f57G36GC1eH56mk0VkMY2bCHJSAFIosLFCR9KqGCQkKGjkTCIA03HhEsidSAtEm5IyMRFCnoA1DmSf3R7ubuvqZ0eh0atqV5ftS41KxIgoQbYtPLRsXYVQU6G3td-Yeq9B6M6l_nepO5f66LKFbg6QJ6ITQKRKjZX8A8Ptb1Y</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Hazra, Souvik</creator><creator>Fusco, Alessandra</creator><creator>Kiprit, Gamze Naz</creator><creator>Stadelmayer, Thomas</creator><creator>Habib, Sarfaraz</creator><creator>Servadei, Lorenzo</creator><creator>Wille, Robert</creator><creator>Weigel, Robert</creator><creator>Santra, Avik</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-4993-7860</orcidid><orcidid>https://orcid.org/0000-0001-9949-6656</orcidid><orcidid>https://orcid.org/0000-0002-8691-6612</orcidid><orcidid>https://orcid.org/0000-0002-3131-1800</orcidid><orcidid>https://orcid.org/0000-0003-4322-834X</orcidid><orcidid>https://orcid.org/0009-0006-4597-2681</orcidid><orcidid>https://orcid.org/0000-0002-8156-3387</orcidid></search><sort><creationdate>20230501</creationdate><title>Robust Radar-based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections</title><author>Hazra, Souvik ; Fusco, Alessandra ; Kiprit, Gamze Naz ; Stadelmayer, Thomas ; Habib, Sarfaraz ; Servadei, Lorenzo ; Wille, Robert ; Weigel, Robert ; Santra, Avik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c296t-1be8113081c682de3c86131720e4da701295fd71bd09f22c9e8a6ee21b71cad13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Continuous radiation</topic><topic>Estimation</topic><topic>Filter banks</topic><topic>Filtering algorithms</topic><topic>FMCW radar</topic><topic>Heart rate</topic><topic>Low-pass filters</topic><topic>Monitoring</topic><topic>Radar</topic><topic>remote monitoring</topic><topic>Respiratory rate</topic><topic>Root-mean-square errors</topic><topic>vital signs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hazra, Souvik</creatorcontrib><creatorcontrib>Fusco, Alessandra</creatorcontrib><creatorcontrib>Kiprit, Gamze Naz</creatorcontrib><creatorcontrib>Stadelmayer, Thomas</creatorcontrib><creatorcontrib>Habib, Sarfaraz</creatorcontrib><creatorcontrib>Servadei, Lorenzo</creatorcontrib><creatorcontrib>Wille, Robert</creatorcontrib><creatorcontrib>Weigel, Robert</creatorcontrib><creatorcontrib>Santra, Avik</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE sensors letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hazra, Souvik</au><au>Fusco, Alessandra</au><au>Kiprit, Gamze Naz</au><au>Stadelmayer, Thomas</au><au>Habib, Sarfaraz</au><au>Servadei, Lorenzo</au><au>Wille, Robert</au><au>Weigel, Robert</au><au>Santra, Avik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Radar-based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections</atitle><jtitle>IEEE sensors letters</jtitle><stitle>LSENS</stitle><date>2023-05-01</date><risdate>2023</risdate><volume>7</volume><issue>5</issue><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2475-1472</issn><eissn>2475-1472</eissn><coden>ISLECD</coden><abstract>In this paper, we propose a non-contact vital sign monitoring algorithm based on 60GHz Frequency Modulated Continuous Wave (FMCW) radar. At the heart of the algorithm is a bank of sinc filters covering the heart and respiratory frequencies of an healthy adult. The filter bank is adapted, in successive iterations, to the specific cardio-respiratory frequencies of the monitored subject. The adaptability of the algorithm ensures an accurate estimate of Heart Rate (HR) and Respiratory Rate(RR) for a subject sitting in front of the radar at a distance between 0.3m to 1.1m while being robust to minor body movements and harmonics. The efficiency of the solution is demonstrated on an experimental data set including recordings of 10 subjects, where we obtain an Root Mean Square Error (RMSE) of 6.16 bpm for HR and 2.09 rpm for RR.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/LSENS.2023.3266237</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0002-4993-7860</orcidid><orcidid>https://orcid.org/0000-0001-9949-6656</orcidid><orcidid>https://orcid.org/0000-0002-8691-6612</orcidid><orcidid>https://orcid.org/0000-0002-3131-1800</orcidid><orcidid>https://orcid.org/0000-0003-4322-834X</orcidid><orcidid>https://orcid.org/0009-0006-4597-2681</orcidid><orcidid>https://orcid.org/0000-0002-8156-3387</orcidid></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2475-1472 |
| ispartof | IEEE sensors letters, 2023-05, Vol.7 (5), p.1-4 |
| issn | 2475-1472 2475-1472 |
| language | eng |
| recordid | cdi_proquest_journals_2806222313 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Continuous radiation Estimation Filter banks Filtering algorithms FMCW radar Heart rate Low-pass filters Monitoring Radar remote monitoring Respiratory rate Root-mean-square errors vital signs |
| title | Robust Radar-based Vital Sensing With Adaptive Sinc Filtering and Random Body Motion Rejections |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T13%3A26%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Robust%20Radar-based%20Vital%20Sensing%20With%20Adaptive%20Sinc%20Filtering%20and%20Random%20Body%20Motion%20Rejections&rft.jtitle=IEEE%20sensors%20letters&rft.au=Hazra,%20Souvik&rft.date=2023-05-01&rft.volume=7&rft.issue=5&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.issn=2475-1472&rft.eissn=2475-1472&rft.coden=ISLECD&rft_id=info:doi/10.1109/LSENS.2023.3266237&rft_dat=%3Cproquest_RIE%3E2806222313%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2806222313&rft_id=info:pmid/&rft_ieee_id=10098858&rfr_iscdi=true |