High order statistics and time-frequency domain to classify heart sounds for subjects under cardiac stress test

DOI10.1155/2015/157825zbMath1344.92014DBLPjournals/cmmm/MoukademSD15OpenAlexW1538680167WikidataQ30408976 ScholiaQ30408976MaRDI QIDQ308742

Alain Dieterlen, Ali Moukadem, Samuel W. Schmidt

Publication date: 6 September 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/157825

zbMATH Keywords

diastolic timeheart soundssystolic timetachyarrhythmia

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Medical applications (general) (92C50)

Related Items (1)

Identification of S1 and S2 heart sound patterns based on fractal theory and shape context

Cites Work

• A window width optimized S-transform
• The Bi-Gaussian S-Transform
• Measuring time-frequency information content using the Renyi entropies
• A measure of some time-frequency distributions concentration.

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