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...
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| Format: | EJournal Article |
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Universitas Ahmad Dahlan,
2018-11-11.
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| LEADER | 02268 am a22002893u 4500 | ||
|---|---|---|---|
| 001 | IJAIN_273_ijain_v4i3_p192-201 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Rizal, Achmad |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Hidayat, Risanuri |e author |
| 700 | 1 | 0 | |a Nugroho, Hanung Adi |e author |
| 245 | 0 | 0 | |a Multiscale tsallis entropy for pulmonary crackle detection |
| 260 | |b Universitas Ahmad Dahlan, |c 2018-11-11. | ||
| 500 | |a https://ijain.org/index.php/IJAIN/article/view/273 | ||
| 520 | |a 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%. | ||
| 540 | |a Copyright (c) 2018 Achmad Rizal, Risanuri Hidayat, Hanung Adi Nugroho | ||
| 540 | |a https://creativecommons.org/licenses/by-sa/4.0 | ||
| 546 | |a eng | ||
| 690 | |a Tsallis entropy; Lung sound; Pulmonary crackle; Multiscale; Multilayer perceptron | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n International Journal of Advances in Intelligent Informatics; Vol 4, No 3 (2018): November 2018; 192-201 | |
| 786 | 0 | |n 2548-3161 | |
| 786 | 0 | |n 2442-6571 | |
| 787 | 0 | |n https://ijain.org/index.php/IJAIN/article/view/273/ijain_v4i3_p192-201 | |
| 856 | 4 | 1 | |u https://ijain.org/index.php/IJAIN/article/view/273/ijain_v4i3_p192-201 |z Get Fulltext |