Document Detail


Accessing heart dynamics to estimate durations of heart sounds.
MedLine Citation:
PMID:  16311448     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Segmentation of the phonocardiogram into its major sound components is the first step in the automated diagnosis of cardiac abnormalities. Almost all of the existing phonocardiogram segmentation algorithms utilize absolute amplitude or frequency characteristics of heart sounds, which vary from one cardiac cycle to the other and across different patients. The objective of this work is to provide an efficient phonocardiogram segmentation technique, under difficult recording situations, by utilizing the underlying complexity of the dynamical system (heart) giving rise to the heart sound. Complexity-based segmentation is invariant to amplitude and frequency variations of the heart sound and yields better time gates for heart sounds.
Authors:
Vivek Nigam; Roland Priemer
Related Documents :
18649178 - The second pdz domain of zonula occludens-1 is dispensable for targeting to connexin 43...
8329628 - Comparison of short-time fourier, wavelet and time-domain analyses of intracardiac sounds.
24113718 - Suppression of ventricular fibrillation by electrical modification of the purkinje syst...
11175018 - Phono-doppler timing relationships in patients with a fourth heart sound.
22561598 - Arrhythmia discrimination using hemoglobin spectroscopy in humans.
24234398 - Novel blockers of the renin-angiotensin-aldosterone system in chronic heart failure.
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't     Date:  2005-10-31
Journal Detail:
Title:  Physiological measurement     Volume:  26     ISSN:  0967-3334     ISO Abbreviation:  Physiol Meas     Publication Date:  2005 Dec 
Date Detail:
Created Date:  2005-11-28     Completed Date:  2006-02-01     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  1005-18     Citation Subset:  IM    
Affiliation:
Electrical and Computer Engineering Department, University of Illinois at Chicago, M/C 154, 851 South Morgan, 60607, USA. vnigam1@uic.edu
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Artificial Intelligence
Computer Simulation
Diagnosis, Computer-Assisted / methods*
Heart Diseases / diagnosis*,  physiopathology*
Heart Sounds / physiology*
Humans
Models, Cardiovascular
Pattern Recognition, Automated / methods
Phonocardiography / methods*
Reproducibility of Results
Sensitivity and Specificity
Sound Spectrography / methods*
Time Factors

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


Previous Document:  Subtraction of 16.67 Hz railroad net interference from the electrocardiogram: application for automa...
Next Document:  The clinical application of non-invasive intracranial blood volume pulse wave monitoring.