Multiscale tsallis entropy for pulmonary crackle detection
Abnormalities in the lungs can be detected from the sound produced by the lungs. Diseases that occur in the lungs or respiratory tract can produce a distinctive lung sound. One of the examples of the lung sound is the pulmonary crackle caused by pneumonia or chronic bronchitis. Various digital signa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universitas Ahmad Dahlan
2018-11-01
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| Series: | IJAIN (International Journal of Advances in Intelligent Informatics) |
| Subjects: | |
| Online Access: | http://ijain.org/index.php/IJAIN/article/view/273 |
| _version_ | 1818981033896312832 |
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| author | Achmad Rizal Risanuri Hidayat Hanung Adi Nugroho |
| author_facet | Achmad Rizal Risanuri Hidayat Hanung Adi Nugroho |
| author_sort | Achmad Rizal |
| collection | DOAJ |
| description | Abnormalities in the lungs can be detected from the sound produced by the lungs. Diseases that occur in the lungs or respiratory tract can produce a distinctive lung sound. One of the examples of the lung sound is the pulmonary crackle caused by pneumonia or chronic bronchitis. Various digital signal processing techniques are developed to detect pulmonary crackle sound automatically, such as the measurement of signal complexity using Tsallis entropy (TE). In this study, TE measurements were performed through several orders on the multiscale pulmonary crackle signal. The pulmonary crackle signal was decomposed using the coarse-grained procedure since the lung sound as the biological signal had a multiscale property. In this paper, we used 21 pulmonary crackle sound and 22 normal lung sound for the experiment. The results showed that the second order TE on the scale of 1-15 had the highest accuracy of 97.67%. This result was better compared to the use of multi-order TE from the previous study, which resulted in an accuracy of 95.35%. |
| first_indexed | 2024-12-20T17:24:54Z |
| format | Article |
| id | doaj.art-7124cc7c907243a88abfc1d34b7d7c62 |
| institution | Directory Open Access Journal |
| issn | 2442-6571 2548-3161 |
| language | English |
| last_indexed | 2024-12-20T17:24:54Z |
| publishDate | 2018-11-01 |
| publisher | Universitas Ahmad Dahlan |
| record_format | Article |
| series | IJAIN (International Journal of Advances in Intelligent Informatics) |
| spelling | doaj.art-7124cc7c907243a88abfc1d34b7d7c622022-12-21T19:31:36ZengUniversitas Ahmad DahlanIJAIN (International Journal of Advances in Intelligent Informatics)2442-65712548-31612018-11-014319220110.26555/ijain.v4i3.27396Multiscale tsallis entropy for pulmonary crackle detectionAchmad Rizal0Risanuri Hidayat1Hanung Adi Nugroho2Dept. of Electrical Engneering & Information Technology, Universitas Gadjah Mada, YogyakartaDept. of Electrical Engneering & Information Technology, Universitas Gadjah Mada, YogyakartaDept. of Electrical Engneering & Information Technology, Universitas Gadjah Mada, YogyakartaAbnormalities in the lungs can be detected from the sound produced by the lungs. Diseases that occur in the lungs or respiratory tract can produce a distinctive lung sound. One of the examples of the lung sound is the pulmonary crackle caused by pneumonia or chronic bronchitis. Various digital signal processing techniques are developed to detect pulmonary crackle sound automatically, such as the measurement of signal complexity using Tsallis entropy (TE). In this study, TE measurements were performed through several orders on the multiscale pulmonary crackle signal. The pulmonary crackle signal was decomposed using the coarse-grained procedure since the lung sound as the biological signal had a multiscale property. In this paper, we used 21 pulmonary crackle sound and 22 normal lung sound for the experiment. The results showed that the second order TE on the scale of 1-15 had the highest accuracy of 97.67%. This result was better compared to the use of multi-order TE from the previous study, which resulted in an accuracy of 95.35%.http://ijain.org/index.php/IJAIN/article/view/273Tsallis entropyLung soundPulmonary crackleMultiscaleMultilayer perceptron |
| spellingShingle | Achmad Rizal Risanuri Hidayat Hanung Adi Nugroho Multiscale tsallis entropy for pulmonary crackle detection IJAIN (International Journal of Advances in Intelligent Informatics) Tsallis entropy Lung sound Pulmonary crackle Multiscale Multilayer perceptron |
| title | Multiscale tsallis entropy for pulmonary crackle detection |
| title_full | Multiscale tsallis entropy for pulmonary crackle detection |
| title_fullStr | Multiscale tsallis entropy for pulmonary crackle detection |
| title_full_unstemmed | Multiscale tsallis entropy for pulmonary crackle detection |
| title_short | Multiscale tsallis entropy for pulmonary crackle detection |
| title_sort | multiscale tsallis entropy for pulmonary crackle detection |
| topic | Tsallis entropy Lung sound Pulmonary crackle Multiscale Multilayer perceptron |
| url | http://ijain.org/index.php/IJAIN/article/view/273 |
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