Document Detail

A novel method for pediatric heart sound segmentation without using the ECG.
MedLine Citation:
PMID:  20036439     Owner:  NLM     Status:  MEDLINE    
In this paper, we propose a novel method for pediatric heart sounds segmentation by paying special attention to the physiological effects of respiration on pediatric heart sounds. The segmentation is accomplished in three steps. First, the envelope of a heart sounds signal is obtained with emphasis on the first heart sound (S(1)) and the second heart sound (S(2)) by using short time spectral energy and autoregressive (AR) parameters of the signal. Then, the basic heart sounds are extracted taking into account the repetitive and spectral characteristics of S(1) and S(2) sounds by using a Multi-Layer Perceptron (MLP) neural network classifier. In the final step, by considering the diastolic and systolic intervals variations due to the effect of a child's respiration, a complete and precise heart sounds end-pointing and segmentation is achieved.
Amir A Sepehri; Arash Gharehbaghi; Thierry Dutoit; Armen Kocharian; A Kiani
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Publication Detail:
Type:  Journal Article     Date:  2009-12-29
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  99     ISSN:  1872-7565     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  2010 Jul 
Date Detail:
Created Date:  2010-08-05     Completed Date:  2011-01-19     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  43-8     Citation Subset:  IM    
Copyright Information:
Copyright 2009 Elsevier Ireland Ltd. All rights reserved.
ICT Research Center, Amir Kabir University, Tehran, Iran.
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MeSH Terms
Databases, Factual
Electrocardiography / methods
Heart Auscultation / methods*
Heart Sounds*
Signal Processing, Computer-Assisted

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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