Document Detail


A method for accurate localization of the first heart sound and possible applications.
MedLine Citation:
PMID:  18367815     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We have previously developed a method for localization of the first heart sound (S1) using wavelet denoising and ECG-gated peak-picking. In this study, an additional enhancement step based on cross-correlation and ECG-gated ensemble averaging (EA) is presented. The main objective of the improved method was to localize S1 with very high temporal accuracy in (pseudo-) real time. The performance of S1 detection and localization, with and without EA enhancement, was evaluated on simulated as well as experimental data. The simulation study showed that EA enhancement reduced the localization error considerably and that S1 could be accurately localized at much lower signal-to-noise ratios. The experimental data were taken from ten healthy subjects at rest and during invoked hyper- and hypotension. For this material, the number of correct S1 detections increased from 91% to 98% when using EA enhancement. Improved performance was also demonstrated when EA enhancement was used for continuous tracking of blood pressure changes and for respiration monitoring via the electromechanical activation time. These are two typical applications where accurate localization of S1 is essential for the results.
Authors:
C Ahlstrom; T Länne; P Ask; A Johansson
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-03-07
Journal Detail:
Title:  Physiological measurement     Volume:  29     ISSN:  0967-3334     ISO Abbreviation:  Physiol Meas     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-03-27     Completed Date:  2008-06-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9306921     Medline TA:  Physiol Meas     Country:  England    
Other Details:
Languages:  eng     Pagination:  417-28     Citation Subset:  IM    
Affiliation:
Department of Biomedical Engineering, Linköpings Universitet, Linköping, Sweden. christer@imt.liu.se
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Blood Pressure / physiology
Computer Simulation
Data Interpretation, Statistical
Electrocardiography / methods*,  statistics & numerical data
Feasibility Studies
Female
Heart Sounds / physiology*
Humans
Male
Respiratory Mechanics / physiology
Risk

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


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