Correlation of arterial blood pressure to synchronous piezo, impedance and photoplethysmographic signal features
dc.contributor.author | Pielmuş, Alexandru-Gabriel | |
dc.contributor.author | Osterland, Dennis | |
dc.contributor.author | Klum, Michael | |
dc.contributor.author | Tigges, Timo | |
dc.contributor.author | Feldheiser, Aarne | |
dc.contributor.author | Hunsicker, Oliver | |
dc.contributor.author | Orglmeister, Reinhold | |
dc.date.accessioned | 2018-08-31T09:34:30Z | |
dc.date.available | 2018-08-31T09:34:30Z | |
dc.date.issued | 2017 | |
dc.description.abstract | In 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.eissn | 2364-5504 | |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/8136 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-7297 | |
dc.language.iso | en | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
dc.subject.ddc | 570 Biowissenschaften; Biologie | de |
dc.subject.other | arterial blood pressure trend | en |
dc.subject.other | correlation | en |
dc.subject.other | features | en |
dc.subject.other | pulse transit time | en |
dc.subject.other | pulse arrival time | en |
dc.subject.other | photoplethysmography | en |
dc.subject.other | vascular impedance | en |
dc.subject.other | peripheral applanation | en |
dc.subject.other | non-invasive | en |
dc.subject.other | continuous | en |
dc.subject.other | wavelet | en |
dc.title | Correlation of arterial blood pressure to synchronous piezo, impedance and photoplethysmographic signal features | en |
dc.title.subtitle | Investigating pulse wave features and transit times | en |
dc.type | Article | en |
dc.type.version | publishedVersion | en |
dcterms.bibliographicCitation.doi | 10.1515/cdbme-2017-0158 | en |
dcterms.bibliographicCitation.issue | 2 | en |
dcterms.bibliographicCitation.journaltitle | Current directions in biomedical engineering | en |
dcterms.bibliographicCitation.originalpublishername | De Gruyter | en |
dcterms.bibliographicCitation.originalpublisherplace | Berlin | en |
dcterms.bibliographicCitation.pageend | 753 | en |
dcterms.bibliographicCitation.pagestart | 749 | en |
dcterms.bibliographicCitation.volume | 3 | en |
tub.accessrights.dnb | free | en |
tub.affiliation | Fak. 4 Elektrotechnik und Informatik::Inst. Energie- und Automatisierungstechnik::FG Elektronik und medizinische Signalverarbeitung | de |
tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
tub.affiliation.group | FG Elektronik und medizinische Signalverarbeitung | de |
tub.affiliation.institute | Inst. Energie- und Automatisierungstechnik | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | en |