Path length entropy analysis of diastolic heart sounds
Benjamin Griffel1, Mohammad K Zia, Vladamir Fridman
1Department of Surgery, University of Medicine and Dentistry of New Jersey, Clinical Academic Building, 125 Patterson Street, New Brunswick, NJ 08901, USA. benjamin.griffel@gmail.com
Computers in Biology and Medicine
|August 13, 2013
Summary
Early detection of coronary artery disease (CAD) using acoustic analysis shows promise. A new method, scaled path length entropy (SPLE), best distinguished between normal and CAD patients, achieving 80%-81% sensitivity-specificity.
Area of Science:
- Cardiology
- Biomedical Engineering
- Signal Processing
Background:
- Coronary artery disease (CAD) detection can be improved with noninvasive, cost-effective methods.
- Acoustic analysis of diastolic heart sounds offers a potential avenue for early CAD detection.
- Identifying specific sound characteristics, like murmurs, is crucial for diagnosing CAD.
Purpose of the Study:
- To develop and evaluate novel methods for detecting coronary artery disease (CAD) using acoustic analysis of heart sounds.
- To characterize the 1/f structure observed in diastolic heart sounds for improved CAD detection.
- To compare the efficacy of new methods against established entropy measures for distinguishing CAD patients.
Main Methods:
- Analysis of diastolic heart sounds to identify potential CAD murmurs.
- Development of path length entropy (PLE) and scaled path length entropy (SPLE) to characterize 1/f sound structure.
- Comparison of SPLE with Hurst exponent, Sample entropy, and Multiscale entropy for CAD classification.
Main Results:
- Diastolic heart sounds were observed to exhibit a 1/f structure.
- The scaled path length entropy (SPLE) method achieved the highest sensitivity-specificity (80%-81%) in distinguishing between normal and CAD patients.
- Evaluation using surrogate data indicated that the cardiovascular sound recordings lacked significant nonlinear properties.
Conclusions:
- The developed SPLE method shows potential as an effective tool for the early, noninvasive detection of coronary artery disease (CAD).
- While SPLE demonstrates strong performance, further research is needed as the analyzed heart sounds may not possess significant nonlinear characteristics.
- Acoustic analysis, particularly with novel entropy measures, offers a promising, cost-effective approach to improving CAD patient outcomes.
Keywords:
1/f noiseBioacousticsCoronary artery diseaseDiastolic murmursEntropyNoninvasive measurementsNonlinear signal processingMore Related Videos
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