NDLI: Assessing PEP and LVET from heart sounds: Algorithms and evaluation

Content Provider	IEEE Xplore Digital Library
Author	Paiva, R.P. Carvalho, P. Aubert, X. Muehlsteff, J. Henriques, J. Antunes, M.
Copyright Year	2009
Description	Author affiliation: Philips Research Laboratories Europe, Aachen, Germany (Aubert, X.; Muehlsteff, J.) \|\| Centro de Cirurgia Cardio-Torácica of the Hospital da Universidade de Coimbra, Coimbra, Portugal (Antunes, M.) \|\| Department of Informatics Engineering, Science and Technology Faculty of the University of Coimbra, Pólo II, Coimbra, Portugal (Paiva, R.P.; Carvalho, P.; Henriques, J.)
Abstract	This paper addresses the estimation of systolic time intervals, namely the pre-ejection period (PEP) and the left ventricular ejection time (LVET), using heart sound. PEP is estimated with a Bayesian approach resorting to the signal's instantaneous amplitude and typical time intervals between atrio-ventricular valve closure and aortic valve opening. As for LVET, aortic valve closure is determined through the analysis of a high-frequency signature of S2. Additionally, LVET has also been estimated from a PPG signal at a peripheral site, for the sake of comparison over a subset of data. We evaluated our algorithms on a set of 658 heartbeats and achieved 10.32 msec average absolute PEP estimation error with 7.3 msec standard deviation and for LVET, 15.8 msec average estimation error with 13.6 msec standard deviation. Current results support our assumption that heart sounds can be applied to detect the onset of the aortic valve movement processes.
Starting Page	3129
Ending Page	3133
File Size	739290
Page Count	5
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5332572
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart valves Echocardiography Patient monitoring Pulse measurements Signal analysis Electrocardiography Estimation error USA Councils Myocardium Blood pressure
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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