Citation
Safara, Fatemeh and C. Doraisamy, Shyamala and Azman, Azreen and Jantan, Azrul Hazri
(2012)
Heart sounds clustering using a combination of temporal, spectral and geometric features.
In: 39th Computing in Cardiology Conference (CinC 2012), 9-12 Sept. 2012, Krakow, Poland. (pp. 217-220).
Abstract
Heart murmurs are the first sign of heart valve disorders. Several studies have been conducted in recent years to automatically differentiate normal heart sounds from heart sounds with murmurs using various types of audio features. In this study, the feasibility of using a combination of temporal, spectral and geometric features in clustering five types of physiological and pathological heart sounds is shown. Thirty six heart sound recordings comprising normal and abnormal heart sounds were collected from training CDs and online resources. The proposed combination of features exhibits a promising discriminatory power in phonocardiographic signals clustering.
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Official URL or Download Paper: https://ieeexplore.ieee.org/document/6420369/
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Additional Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculty of Computer Science and Information Technology |
| Publisher: | IEEE |
| Keywords: | Heart sounds; Clustering; Temporal; Spectral; Geometric |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 04 Aug 2020 02:42 |
| Last Modified: | 04 Aug 2020 02:42 |
| URI: | http://psasir.upm.edu.my/id/eprint/45161 |
| Statistic Details: | View Download Statistic |
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