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Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars

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Summary:Radar systems have been widely explored as a monitoring tool able to assess the subject's vital signs remotely. However, their implementation in real application scenarios is not straightforward. Received signals encompass parasitic reflections that occur in the monitoring environment. Generally, those parasitic components, often treated as a complex DC (CDC) offsets, must be removed in order to correctly extract the bio-signals information. Fitting methods can be used, but their implementation were revealed to be challenging when bio-signals are weak or when these parasitic reflections arise from non-static targets, changing the CDC offset properties over time. In this work, we propose a dynamic digital signal processing algorithm to extract the vital signs from radar systems. This algorithm includes a novel arc fitting method to estimate the CDC offsets on the received signal. The method revealed being robust to weaker signals, presenting a success rate of 95%, irrespective of the considered monitoring conditions. Furthermore, the proposed algorithm is able to adapt to slow changes in the propagation environment.
Main Authors:Gouveia, Carolina
Other Authors:Albuquerque, Daniel; Vieira, José; Pinho, Pedro
Subject:Arc fitting Bio-radar Continuous-wave DC offsets Digital signal processing algorithm Vital signs
Year:2021
Country:Portugal
Document type:article
Access type:open access
Associated institution:Universidade Politécnica de Lisboa
Language:English
Origin:Repositório Científico da Universidade Politécnica de Lisboa
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author Gouveia, Carolina
author2 Albuquerque, Daniel
Vieira, José
Pinho, Pedro
author2_role author
author
author
author_facet Gouveia, Carolina
Albuquerque, Daniel
Vieira, José
Pinho, Pedro
author_role author
contributor_name_str_mv RCIPL
country_str PT
creators_json_txt [{\"Person.name\":\"Gouveia, Carolina\",\"Person.identifier.cienciaID\":\"7816-31A6-9E03\",\"Person.identifier.orcid\":\"0000-0002-2077-2871\",\"Person.identifier.scopusAuthorID\":\"57205645626\"},{\"Person.name\":\"Albuquerque, Daniel\",\"Person.identifier.cienciaID\":\"2C16-91D6-5F09\",\"Person.identifier.orcid\":\"0000-0002-8897-9123\"},{\"Person.name\":\"Vieira, José\"},{\"Person.name\":\"Pinho, Pedro\",\"Person.identifier.cienciaID\":\"4C17-7EC8-C889\",\"Person.identifier.orcid\":\"0000-0001-5588-7794\",\"Person.identifier.researcherID\":\"D-4304-2009\",\"Person.identifier.researcherID\":\"D-4304-2009\",\"Person.identifier.scopusAuthorID\":\"16031596400\"}]
datacite.contributors.contributor.contributorName.fl_str_mv RCIPL
datacite.creators.creator.creatorName.fl_str_mv Gouveia, Carolina
Albuquerque, Daniel
Vieira, José
Pinho, Pedro
datacite.date.Accepted.fl_str_mv 2021-10-13T00:00:00Z
datacite.date.available.fl_str_mv 2021-11-18T14:08:54Z
datacite.date.embargoed.fl_str_mv 2021-11-18T14:08:54Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Arc fitting
Bio-radar
Continuous-wave
DC offsets
Digital signal processing algorithm
Vital signs
datacite.titles.title.fl_str_mv Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
dc.contributor.none.fl_str_mv RCIPL
dc.creator.none.fl_str_mv Gouveia, Carolina
Albuquerque, Daniel
Vieira, José
Pinho, Pedro
dc.date.Accepted.fl_str_mv 2021-10-13T00:00:00Z
dc.date.available.fl_str_mv 2021-11-18T14:08:54Z
dc.date.embargoed.fl_str_mv 2021-11-18T14:08:54Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.21/14012
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv MDPI
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Arc fitting
Bio-radar
Continuous-wave
DC offsets
Digital signal processing algorithm
Vital signs
dc.title.fl_str_mv Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description Radar systems have been widely explored as a monitoring tool able to assess the subject's vital signs remotely. However, their implementation in real application scenarios is not straightforward. Received signals encompass parasitic reflections that occur in the monitoring environment. Generally, those parasitic components, often treated as a complex DC (CDC) offsets, must be removed in order to correctly extract the bio-signals information. Fitting methods can be used, but their implementation were revealed to be challenging when bio-signals are weak or when these parasitic reflections arise from non-static targets, changing the CDC offset properties over time. In this work, we propose a dynamic digital signal processing algorithm to extract the vital signs from radar systems. This algorithm includes a novel arc fitting method to estimate the CDC offsets on the received signal. The method revealed being robust to weaker signals, presenting a success rate of 95%, irrespective of the considered monitoring conditions. Furthermore, the proposed algorithm is able to adapt to slow changes in the propagation environment.
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inst_facet_str urn:organizationAcronym:ipl{{{_:::_}}}Universidade Politécnica de Lisboa
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person_str_mv Gouveia, Carolina
Gouveia, Carolina
https://www.ciencia-id.pt/7816-31A6-9E03
7816-31A6-9E03
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0000-0002-2077-2871
Albuquerque, Daniel
Albuquerque, Daniel
https://www.ciencia-id.pt/2C16-91D6-5F09
2C16-91D6-5F09
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Vieira, José
Pinho, Pedro
Pinho, Pedro
https://www.ciencia-id.pt/4C17-7EC8-C889
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repo_facet_str urn:repositoryAcronym:ripl{{{_:::_}}}Repositório Científico da Universidade Politécnica de Lisboa
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spelling engMDPIpt_PTRadar systems have been widely explored as a monitoring tool able to assess the subject's vital signs remotely. However, their implementation in real application scenarios is not straightforward. Received signals encompass parasitic reflections that occur in the monitoring environment. Generally, those parasitic components, often treated as a complex DC (CDC) offsets, must be removed in order to correctly extract the bio-signals information. Fitting methods can be used, but their implementation were revealed to be challenging when bio-signals are weak or when these parasitic reflections arise from non-static targets, changing the CDC offset properties over time. In this work, we propose a dynamic digital signal processing algorithm to extract the vital signs from radar systems. This algorithm includes a novel arc fitting method to estimate the CDC offsets on the received signal. The method revealed being robust to weaker signals, presenting a success rate of 95%, irrespective of the considered monitoring conditions. Furthermore, the proposed algorithm is able to adapt to slow changes in the propagation environment.application/pdfpt_PTDynamic digital signal processing algorithm for vital signs extraction in continuous-wave radarsPersonalGouveia, CarolinaDSpacehttp://dspace.org/items/30bb7119-0565-496f-8578-fc20cfaec032DSpacehttp://dspace.org/items/30bb7119-0565-496f-8578-fc20cfaec032GouveiaCarolinaCiência IDhttps://www.ciencia-id.pt7816-31A6-9E03ORCIDhttp://orcid.org0000-0002-2077-2871Scopus Author IDhttps://www.scopus.com57205645626PersonalAlbuquerque, DanielDSpacehttp://dspace.org/items/0315b864-2283-4035-9eeb-c21b7daedf97DSpacehttp://dspace.org/items/0315b864-2283-4035-9eeb-c21b7daedf97Filipe AlbuquerqueDanielCiência IDhttps://www.ciencia-id.pt2C16-91D6-5F09ORCIDhttp://orcid.org0000-0002-8897-9123Vieira, JoséPersonalPinho, PedroDSpacehttp://dspace.org/items/8347c340-8bc5-4fe8-8377-6bf016c2e2d2DSpacehttp://dspace.org/items/8347c340-8bc5-4fe8-8377-6bf016c2e2d2PinhoPedroCiência IDhttps://www.ciencia-id.pt4C17-7EC8-C889ORCIDhttp://orcid.org0000-0001-5588-7794Researcher IDhttps://www.researcherid.comD-4304-2009Researcher IDhttps://www.researcherid.comD-4304-2009Scopus Author IDhttps://www.scopus.com16031596400HostingInstitutionOrganizationalRCIPLe-mailmailto:rcaap@sp.ipl.ptrcaap@sp.ipl.ptDOIIsPartOf10.3390/rs132040792021-11-18T14:08:54Z2021-10-132021-10-13T00:00:00ZHandlehttp://hdl.handle.net/10400.21/14012http://purl.org/coar/access_right/c_abf2open accessArc fittingBio-radarContinuous-waveDC offsetsDigital signal processing algorithmVital signs4651935 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ipl.pt/bitstreams/1bacae87-eeda-4293-a0a6-ee1219cd675d/downloadRemote Sensing1320123
spellingShingle Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
Gouveia, Carolina
Arc fitting
Bio-radar
Continuous-wave
DC offsets
Digital signal processing algorithm
Vital signs
status SINGLETON
subject.fl_str_mv Arc fitting
Bio-radar
Continuous-wave
DC offsets
Digital signal processing algorithm
Vital signs
title Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
title_full Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
title_fullStr Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
title_full_unstemmed Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
title_short Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
title_sort Dynamic digital signal processing algorithm for vital signs extraction in continuous-wave radars
topic Arc fitting
Bio-radar
Continuous-wave
DC offsets
Digital signal processing algorithm
Vital signs
topic_facet Arc fitting
Bio-radar
Continuous-wave
DC offsets
Digital signal processing algorithm
Vital signs
url http://hdl.handle.net/10400.21/14012
visible 1

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