High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test
Joint Authors
Moukadem, Ali
Schmidt, Samuel
Dieterlen, Alain
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper considers the problem of classification of the first and the second heart sounds (S1 and S2) under cardiac stress test.
The main objective is to classify these sounds without electrocardiogram (ECG) reference and without taking into consideration the systolic and the diastolic time intervals criterion which can become problematic and useless in several real life settings as severe tachycardia and tachyarrhythmia or in the case of subjects being under cardiac stress activity.
First, the heart sounds are segmented by using a modified time-frequency based envelope.
Then, to distinguish between the first and the second heart sounds, new features, named αopt, β, and γ, based on high order statistics and energy concentration measures of the Stockwell transform (S-transform) are proposed in this study.
A study of the variation of the high frequency content of S1 and S2 over the HR (heart rate) is also discussed.
The proposed features are validated on a database that contains 2636 S1 and S2 sounds corresponding to 62 heart signals and 8 subjects under cardiac stress test collected from healthy subjects.
Results and comparisons with existing methods in the literature show a large superiority for our proposed features.
American Psychological Association (APA)
Moukadem, Ali& Schmidt, Samuel& Dieterlen, Alain. 2015. High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1057815
Modern Language Association (MLA)
Moukadem, Ali…[et al.]. High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1057815
American Medical Association (AMA)
Moukadem, Ali& Schmidt, Samuel& Dieterlen, Alain. High Order Statistics and Time-Frequency Domain to Classify Heart Sounds for Subjects under Cardiac Stress Test. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1057815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057815