Acoustic features for the identification of coronary artery disease

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Abstract

GOAL: Earlier studies have documented that coronary artery disease (CAD) produces weak murmurs, which might be detected through analysis of heart sounds. An electronic stethoscope with a digital signal processing unit could be a low cost and easily applied method for diagnosis of CAD. The current study is a search for heart sound features which might identify CAD.

METHODS: Nine different types of features from five overlapping frequency bands were obtained and analyzed using 435 recordings from 133 subjects.

RESULTS: New features describing an increase in low frequency power in CAD patients were identified. The features of the different types were relatively strongly correlated. Using a quadratic discriminant function, multiple features were combined into a CAD-score. The area under the receiving operating characteristic for the CAD score was 0.73 (95% CI: 0.69-0.78).

CONCLUSION: The result confirms that there is a potential in heart sounds for the diagnosis of CAD, but that further improvements are necessary to gain clinical relevance.

Original languageEnglish
Article number7105874
JournalI E E E Transactions on Biomedical Engineering
Volume62
Issue number11
Pages (from-to)2611-2619
ISSN0018-9294
DOIs
Publication statusPublished - 2015

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