Heart sounds clustering using a combination of temporal, spectral and geometric features
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, s...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45161/ http://psasir.upm.edu.my/id/eprint/45161/1/Heart%20sounds%20clustering%20using%20a%20combination%20of%20temporal%2C%20spectral%20and%20geometric%20features.pdf |
| _version_ | 1848850482387222528 |
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| author | Safara, Fatemeh C. Doraisamy, Shyamala Azman, Azreen Jantan, Azrul Hazri |
| author_facet | Safara, Fatemeh C. Doraisamy, Shyamala Azman, Azreen Jantan, Azrul Hazri |
| author_sort | Safara, Fatemeh |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T10:06:59Z |
| format | Conference or Workshop Item |
| id | upm-45161 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:06:59Z |
| publishDate | 2012 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-451612020-08-04T02:42:46Z http://psasir.upm.edu.my/id/eprint/45161/ Heart sounds clustering using a combination of temporal, spectral and geometric features Safara, Fatemeh C. Doraisamy, Shyamala Azman, Azreen Jantan, Azrul Hazri 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. IEEE 2012 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45161/1/Heart%20sounds%20clustering%20using%20a%20combination%20of%20temporal%2C%20spectral%20and%20geometric%20features.pdf 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). https://ieeexplore.ieee.org/document/6420369/ |
| spellingShingle | Safara, Fatemeh C. Doraisamy, Shyamala Azman, Azreen Jantan, Azrul Hazri Heart sounds clustering using a combination of temporal, spectral and geometric features |
| title | Heart sounds clustering using a combination of temporal, spectral and geometric features |
| title_full | Heart sounds clustering using a combination of temporal, spectral and geometric features |
| title_fullStr | Heart sounds clustering using a combination of temporal, spectral and geometric features |
| title_full_unstemmed | Heart sounds clustering using a combination of temporal, spectral and geometric features |
| title_short | Heart sounds clustering using a combination of temporal, spectral and geometric features |
| title_sort | heart sounds clustering using a combination of temporal, spectral and geometric features |
| url | http://psasir.upm.edu.my/id/eprint/45161/ http://psasir.upm.edu.my/id/eprint/45161/ http://psasir.upm.edu.my/id/eprint/45161/1/Heart%20sounds%20clustering%20using%20a%20combination%20of%20temporal%2C%20spectral%20and%20geometric%20features.pdf |