Document Detail

Noninvasive diagnosis of pulmonary hypertension using heart sound analysis.
MedLine Citation:
PMID:  20691967     Owner:  NLM     Status:  MEDLINE    
Right-heart catheterization is the most accurate method for measuring pulmonary artery pressure (PAP). It is an expensive, invasive procedure, exposes patients to the risk of infection, and is not suited for long-term monitoring situations. Medical researchers have shown that PAP influences the characteristics of heart sounds. This suggests that heart sound analysis is a potential method for the noninvasive diagnosis of pulmonary hypertension. We describe the development of a prototype system, called PHD (pulmonary hypertension diagnoser), that implements this method. PHD uses patient data with machine learning algorithms to build models of how pulmonary hypertension affects heart sounds. Data from 20 patients were used to build the models and data from another 31 patients were used as a validation set. PHD diagnosed pulmonary hypertension in the validation set with 77% accuracy and 0.78 area under the receiver-operating-characteristic curve.
Aaron Dennis; Andrew D Michaels; Patti Arand; Dan Ventura
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Publication Detail:
Type:  Journal Article     Date:  2010-08-06
Journal Detail:
Title:  Computers in biology and medicine     Volume:  40     ISSN:  1879-0534     ISO Abbreviation:  Comput. Biol. Med.     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-09-13     Completed Date:  2011-01-07     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  1250250     Medline TA:  Comput Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  758-64     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Ltd. All rights reserved.
Department of Computer Science, Brigham Young University, Provo, UT 84602, USA.
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MeSH Terms
Area Under Curve
Heart Catheterization / methods
Heart Sounds*
Hypertension, Pulmonary / diagnosis*
ROC Curve
Reproducibility of Results

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

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