Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular Disease
Previous studies have shown that the acoustic characteristics of coronary heart disease (CHD) are the diastolic turbulent murmurs. But there is little research on how to distinguish the differences between diastolic turbulent murmurs and diastolic valvular murmurs. In order to improve the diagnosis...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9186271/ |
| _version_ | 1819275090517295104 |
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| author | Haixia Li Guofeng Ren Xiaopu Yu Dongying Wang Shizhe Wu |
| author_facet | Haixia Li Guofeng Ren Xiaopu Yu Dongying Wang Shizhe Wu |
| author_sort | Haixia Li |
| collection | DOAJ |
| description | Previous studies have shown that the acoustic characteristics of coronary heart disease (CHD) are the diastolic turbulent murmurs. But there is little research on how to distinguish the differences between diastolic turbulent murmurs and diastolic valvular murmurs. In order to improve the diagnosis accuracy of CHD based on the analysis of diastolic murmurs, empirical wavelet transform was applied to distinguish the difference of diastolic murmurs between in CHD and in valvular disease. Firstly, the spectrum of diastolic heart sounds was divided into three modes and the segmentation boundaries were set as [150], 200] Hz. Next, the diastolic modal spectrums were obtained. It is found that the essential difference of diastolic murmurs between in CHD and in mitral stenosis is the third modal spectrum. Finally, the characteristic parameter P3 was defined and used to distinguish the diastolic murmurs in CHD and in valvular disease. The performance of the proposed method is tested and the results show when the proposed method was used to identify the diastolic murmurs of CHD, Se is 94.7%, Pp is 93.4% and Oa is 88.7%; When the proposed method identifying the diastolic murmurs of valvular disease, Se is 93.3%, Pp is 94.6% and Oa is 88.6%. |
| first_indexed | 2024-12-23T23:18:48Z |
| format | Article |
| id | doaj.art-0b45a5e7f18a4f75b9f8d85ef8ea041a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:18:48Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-0b45a5e7f18a4f75b9f8d85ef8ea041a2022-12-21T17:26:24ZengIEEEIEEE Access2169-35362020-01-01816040716041310.1109/ACCESS.2020.30210939186271Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular DiseaseHaixia Li0https://orcid.org/0000-0003-0778-4322Guofeng Ren1Xiaopu Yu2Dongying Wang3Shizhe Wu4Department of Electronics, Xinzhou Teachers University, Xinzhou, ChinaDepartment of Electronics, Xinzhou Teachers University, Xinzhou, ChinaShanxi Medical University of China, Taiyuan, ChinaShanxi Medical University of China, Taiyuan, ChinaTaiyuan Zhida Ivy League Middle School, Taiyuan, ChinaPrevious studies have shown that the acoustic characteristics of coronary heart disease (CHD) are the diastolic turbulent murmurs. But there is little research on how to distinguish the differences between diastolic turbulent murmurs and diastolic valvular murmurs. In order to improve the diagnosis accuracy of CHD based on the analysis of diastolic murmurs, empirical wavelet transform was applied to distinguish the difference of diastolic murmurs between in CHD and in valvular disease. Firstly, the spectrum of diastolic heart sounds was divided into three modes and the segmentation boundaries were set as [150], 200] Hz. Next, the diastolic modal spectrums were obtained. It is found that the essential difference of diastolic murmurs between in CHD and in mitral stenosis is the third modal spectrum. Finally, the characteristic parameter P3 was defined and used to distinguish the diastolic murmurs in CHD and in valvular disease. The performance of the proposed method is tested and the results show when the proposed method was used to identify the diastolic murmurs of CHD, Se is 94.7%, Pp is 93.4% and Oa is 88.7%; When the proposed method identifying the diastolic murmurs of valvular disease, Se is 93.3%, Pp is 94.6% and Oa is 88.6%.https://ieeexplore.ieee.org/document/9186271/Diastolic murmurscoronary heart disease (CHD)valvular diseaseempirical wavelet transform (EWT) |
| spellingShingle | Haixia Li Guofeng Ren Xiaopu Yu Dongying Wang Shizhe Wu Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular Disease IEEE Access Diastolic murmurs coronary heart disease (CHD) valvular disease empirical wavelet transform (EWT) |
| title | Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular Disease |
| title_full | Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular Disease |
| title_fullStr | Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular Disease |
| title_full_unstemmed | Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular Disease |
| title_short | Discrimination of the Diastolic Murmurs in Coronary Heart Disease and in Valvular Disease |
| title_sort | discrimination of the diastolic murmurs in coronary heart disease and in valvular disease |
| topic | Diastolic murmurs coronary heart disease (CHD) valvular disease empirical wavelet transform (EWT) |
| url | https://ieeexplore.ieee.org/document/9186271/ |
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