Classification of heart sound based on multipoint auscultation system
Heart disorder can be diagnosed by listening to the heart sound that is recorded using stethoscope on the human chest. However, human interpretation and diagnosis based on auscultation is somewhat subjective and vary depending on the skill and hearing ability of the physician. Studies have been focu...
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| Format: | Conference or Workshop Item |
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2013
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| _version_ | 1796859542366060544 |
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| author | Sheikh Salleh, Sheikh Hussain Kamarulafizam, I. Mohd. Noor, Alias A. Harris, Arief Ruhullah Oemar, Hamed Yusoff, Khalid |
| author_facet | Sheikh Salleh, Sheikh Hussain Kamarulafizam, I. Mohd. Noor, Alias A. Harris, Arief Ruhullah Oemar, Hamed Yusoff, Khalid |
| author_sort | Sheikh Salleh, Sheikh Hussain |
| collection | ePrints |
| description | Heart disorder can be diagnosed by listening to the heart sound that is recorded using stethoscope on the human chest. However, human interpretation and diagnosis based on auscultation is somewhat subjective and vary depending on the skill and hearing ability of the physician. Studies have been focusing on the development and evaluation of methods in detecting the various components of the heart sound at a specific auscultation point. The principle interest of this paper is, however focused towards finding the optimal auscultation point which involves placing the stethoscope at different position namely at the aortic valve and pulmonary valve which provide better quality of the second heart sound component (S2) and mitral valve and tricuspid valve where the first heart sound component (Sl) can be heard more clearly. Comparative experiments using to Mel-Frequency Cepstrum Coefficient (MFCC) property, variation of the number of Hidden markov Model (HMM) states and variation of the number of gaussian mixtures were conducted to measure the offects of these factors to the classification performance at the four locations of auscultation point. Further works was also carried out with time-frequency distribution which is known to provide information about how the spectral content of the signal evolves with time. The Extended Modified B-distribution was chosen from a number of time-frequency methods due to its ability to represent the signal in the most efficient way in term of noise and cross term elimination. |
| first_indexed | 2024-03-05T19:28:42Z |
| format | Conference or Workshop Item |
| id | utm.eprints-50939 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:28:42Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | utm.eprints-509392017-09-27T08:54:55Z http://eprints.utm.my/50939/ Classification of heart sound based on multipoint auscultation system Sheikh Salleh, Sheikh Hussain Kamarulafizam, I. Mohd. Noor, Alias A. Harris, Arief Ruhullah Oemar, Hamed Yusoff, Khalid QP Physiology Heart disorder can be diagnosed by listening to the heart sound that is recorded using stethoscope on the human chest. However, human interpretation and diagnosis based on auscultation is somewhat subjective and vary depending on the skill and hearing ability of the physician. Studies have been focusing on the development and evaluation of methods in detecting the various components of the heart sound at a specific auscultation point. The principle interest of this paper is, however focused towards finding the optimal auscultation point which involves placing the stethoscope at different position namely at the aortic valve and pulmonary valve which provide better quality of the second heart sound component (S2) and mitral valve and tricuspid valve where the first heart sound component (Sl) can be heard more clearly. Comparative experiments using to Mel-Frequency Cepstrum Coefficient (MFCC) property, variation of the number of Hidden markov Model (HMM) states and variation of the number of gaussian mixtures were conducted to measure the offects of these factors to the classification performance at the four locations of auscultation point. Further works was also carried out with time-frequency distribution which is known to provide information about how the spectral content of the signal evolves with time. The Extended Modified B-distribution was chosen from a number of time-frequency methods due to its ability to represent the signal in the most efficient way in term of noise and cross term elimination. 2013 Conference or Workshop Item PeerReviewed Sheikh Salleh, Sheikh Hussain and Kamarulafizam, I. and Mohd. Noor, Alias and A. Harris, Arief Ruhullah and Oemar, Hamed and Yusoff, Khalid (2013) Classification of heart sound based on multipoint auscultation system. In: 2013 8th International Workshop on Systems, Signal Processing and Their Applications, WoSSPA 2013. http://dx.doi.org/10.1109/WoSSPA.2013.6602357 |
| spellingShingle | QP Physiology Sheikh Salleh, Sheikh Hussain Kamarulafizam, I. Mohd. Noor, Alias A. Harris, Arief Ruhullah Oemar, Hamed Yusoff, Khalid Classification of heart sound based on multipoint auscultation system |
| title | Classification of heart sound based on multipoint auscultation system |
| title_full | Classification of heart sound based on multipoint auscultation system |
| title_fullStr | Classification of heart sound based on multipoint auscultation system |
| title_full_unstemmed | Classification of heart sound based on multipoint auscultation system |
| title_short | Classification of heart sound based on multipoint auscultation system |
| title_sort | classification of heart sound based on multipoint auscultation system |
| topic | QP Physiology |
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