Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6481
Main Title: Computationally efficient time domain detection algorithm for characteristic points in non invasive continuous blood pressure measurements
Author(s): Lerch, Dennis
Orglmeister, Rreinhold
Type: Article
Language Code: en
Abstract: In 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.
URI: https://depositonce.tu-berlin.de//handle/11303/7206
http://dx.doi.org/10.14279/depositonce-6481
Issue Date: 2012
Date Available: 28-Nov-2017
DDC Class: 610 Medizin, Gesundheit
Usage rights: Terms of German Copyright Law
Journal Title: Biomedical engineering = Biomedizinische Technik
Publisher: De Gruyter
Publisher Place: Berlin [u.a.]
Volume: 57
Issue: Suppl. 1
Publisher DOI: 10.1515/bmt-2012-4477
Page Start: 228
Page End: 231
EISSN: 0013-5585
ISSN: 1862-278X
Notes: Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
This 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.
Appears in Collections:Fachgebiet Elektronik und medizinische Signalverarbeitung » Publications

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