Computationally efficient time domain detection algorithm for characteristic points in non invasive continuous blood pressure measurements

dc.contributor.authorLerch, Dennis
dc.contributor.authorOrglmeister, Reinhold
dc.date.accessioned2017-11-28T13:26:22Z
dc.date.available2017-11-28T13:26:22Z
dc.date.issued2012
dc.descriptionDieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.de
dc.descriptionThis publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.en
dc.description.abstractIn this paper a computationally efficient algorithm for continuous blood pressure curve segmentation is presented. It uses only methods in the time domain and can distinguish between systolic, diastolic values and values of calibration steps caused by the continuous blood pressure measuring technique or values of other artefacts. The detection of local extremes, necessary for systolic and diastolic points, is performed with smoothed first and second derivations. An adaptive threshold approach sorts out most of the false extremes, not belonging to the valid blood pressure curve. But only the following plateau detection is suitably reliable to detect local extremes which lie within a calibration step.en
dc.identifier.eissn0013-5585
dc.identifier.issn1862-278X
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/7206
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-6481
dc.language.isoen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc610 Medizin und Gesundheit
dc.titleComputationally efficient time domain detection algorithm for characteristic points in non invasive continuous blood pressure measurementsen
dc.typeArticle
dc.type.versionpublishedVersion
dcterms.bibliographicCitation.doi10.1515/bmt-2012-4477
dcterms.bibliographicCitation.issueSuppl. 1
dcterms.bibliographicCitation.journaltitleBiomedical engineering = Biomedizinische Technik
dcterms.bibliographicCitation.originalpublishernameDe Gruyter
dcterms.bibliographicCitation.originalpublisherplaceBerlin [u.a.]
dcterms.bibliographicCitation.pageend231
dcterms.bibliographicCitation.pagestart228
dcterms.bibliographicCitation.volume57
tub.accessrights.dnbdomain
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 Berlin

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