Correlation of arterial blood pressure to synchronous piezo, impedance and photoplethysmographic signal features

dc.contributor.authorPielmuş, Alexandru-Gabriel
dc.contributor.authorOsterland, Dennis
dc.contributor.authorKlum, Michael
dc.contributor.authorTigges, Timo
dc.contributor.authorFeldheiser, Aarne
dc.contributor.authorHunsicker, Oliver
dc.contributor.authorOrglmeister, Reinhold
dc.date.accessioned2018-08-31T09:34:30Z
dc.date.available2018-08-31T09:34:30Z
dc.date.issued2017
dc.description.abstractIn this paper we investigate which pulse wave pick-up technologies are well suited for blood pressure trend estimation. We use custom built hardware to acquire electrocardiographic, applanation-tonometric, photo- and impedance-plethysmographic signals during low intensity workouts. Beat-to-beat features and pulse wave runtimes are correlated to the reference arterial blood pressure. Temporal lag adjustment is performed to determine the latency of feature response. Best results are obtained for systolic arterial blood pressure. These suggest that every subject has a range of well-performing features, but it is not consistent among all. Spearman Rho values reach in excess of 0.8, with their significance being validated by p-values lower than 0.01.en
dc.identifier.eissn2364-5504
dc.identifier.urihttps://depositonce.tu-berlin.de//handle/11303/8136
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7297
dc.language.isoenen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subject.ddc570 Biowissenschaften; Biologiede
dc.subject.otherarterial blood pressure trenden
dc.subject.othercorrelationen
dc.subject.otherfeaturesen
dc.subject.otherpulse transit timeen
dc.subject.otherpulse arrival timeen
dc.subject.otherphotoplethysmographyen
dc.subject.othervascular impedanceen
dc.subject.otherperipheral applanationen
dc.subject.othernon-invasiveen
dc.subject.othercontinuousen
dc.subject.otherwaveleten
dc.titleCorrelation of arterial blood pressure to synchronous piezo, impedance and photoplethysmographic signal featuresen
dc.title.subtitleInvestigating pulse wave features and transit timesen
dc.typeArticleen
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.doi10.1515/cdbme-2017-0158en
dcterms.bibliographicCitation.issue2en
dcterms.bibliographicCitation.journaltitleCurrent directions in biomedical engineeringen
dcterms.bibliographicCitation.originalpublishernameDe Gruyteren
dcterms.bibliographicCitation.originalpublisherplaceBerlinen
dcterms.bibliographicCitation.pageend753en
dcterms.bibliographicCitation.pagestart749en
dcterms.bibliographicCitation.volume3en
tub.accessrights.dnbfreeen
tub.affiliationFak. 4 Elektrotechnik und Informatik>Inst. Energie- und Automatisierungstechnik>FG Elektronik und medizinische Signalverarbeitungde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupFG Elektronik und medizinische Signalverarbeitungde
tub.affiliation.instituteInst. Energie- und Automatisierungstechnikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
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