DC FieldValueLanguage
dc.contributor.authorAlbrecht, Nils Christian-
dc.contributor.authorHeyer, Markus-
dc.contributor.authorWenzel, Marvin-
dc.contributor.authorLanger, Dominik-
dc.contributor.authorLu, Hui-
dc.contributor.authorKölpin, Alexander-
dc.date.accessioned2023-03-17T12:26:41Z-
dc.date.available2023-03-17T12:26:41Z-
dc.date.issued2023-01-
dc.identifier.citationIEEE Radio and Wireless Symposium (RWS 2023): 34-36 (2023-01)de_DE
dc.identifier.isbn978-1-6654-9344-4de_DE
dc.identifier.urihttp://hdl.handle.net/11420/15017-
dc.description.abstractThis contribution presents a 122 GHz continuous wave (CW) radar system capable of detecting human heart sounds over a distance of at least five meters. A bidirectional long short-term memory (LSTM) neural network is used to extract precise inter-beat-intervals (IBIs) from the radar data. A small-scale human trial with two persons is carried out, and the resulting accuracy of the system is compared to a gold-standard electrocardiogram (ECG). The proposed system shows a mean absolute error of 5 ms and a standard deviation (SD) of 63 ms compared to the ECG IBIs.en
dc.language.isoende_DE
dc.publisherIEEEde_DE
dc.subjectcontinuous wave radarde_DE
dc.subjectmachine learningde_DE
dc.subjectvital sign detectionde_DE
dc.subject.ddc004: Informatikde_DE
dc.subject.ddc600: Technikde_DE
dc.subject.ddc610: Medizinde_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleLong-distance heart sound detection using 122 GHz CW radar with 3D printed high-gain antennasde_DE
dc.typeinProceedingsde_DE
dc.type.dinicontributionToPeriodical-
dcterms.DCMITypeText-
tuhh.abstract.englishThis contribution presents a 122 GHz continuous wave (CW) radar system capable of detecting human heart sounds over a distance of at least five meters. A bidirectional long short-term memory (LSTM) neural network is used to extract precise inter-beat-intervals (IBIs) from the radar data. A small-scale human trial with two persons is carried out, and the resulting accuracy of the system is compared to a gold-standard electrocardiogram (ECG). The proposed system shows a mean absolute error of 5 ms and a standard deviation (SD) of 63 ms compared to the ECG IBIs.de_DE
tuhh.publisher.doi10.1109/RWS55624.2023.10046319-
tuhh.publication.instituteHochfrequenztechnik E-3de_DE
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.type.drivercontributionToPeriodical-
dc.type.casraiConference Paper-
tuhh.container.startpage34de_DE
tuhh.container.endpage36de_DE
dc.relation.conferenceIEEE Radio and Wireless Symposium, RWS 2023de_DE
dc.identifier.scopus2-s2.0-85149343259de_DE
local.status.inpressfalsede_DE
datacite.resourceTypeGeneralConferencePaper-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.languageiso639-1en-
item.creatorGNDAlbrecht, Nils Christian-
item.creatorGNDHeyer, Markus-
item.creatorGNDWenzel, Marvin-
item.creatorGNDLanger, Dominik-
item.creatorGNDLu, Hui-
item.creatorGNDKölpin, Alexander-
item.mappedtypeinProceedings-
item.cerifentitytypePublications-
item.openairetypeinProceedings-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.creatorOrcidAlbrecht, Nils Christian-
item.creatorOrcidHeyer, Markus-
item.creatorOrcidWenzel, Marvin-
item.creatorOrcidLanger, Dominik-
item.creatorOrcidLu, Hui-
item.creatorOrcidKölpin, Alexander-
crisitem.author.deptHochfrequenztechnik E-3-
crisitem.author.deptHochfrequenztechnik E-3-
crisitem.author.deptHochfrequenztechnik E-3-
crisitem.author.deptHochfrequenztechnik E-3-
crisitem.author.orcid0000-0001-8991-2505-
crisitem.author.orcid0000-0003-2794-3714-
crisitem.author.orcid0000-0002-9071-5661-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
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