Yıl: 2021 Cilt: 11 Sayı: 2 Sayfa Aralığı: 165 - 174 Metin Dili: İngilizce DOI: 10.36222/ejt.986599 İndeks Tarihi: 23-09-2022

A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound

Öz:
Lung breathing sounds have been used to diagnose many diseases, including Covid-19. Nowadays, Covid-19 has affected daily life worldwide, and it has caused a global pandemic. Generally, computer vision methods have been presented to classify healthy, pneumonia, and Covid-19. They achieved high classification rates on datasets with a limited number of classes without taking into consideration other lung diseases. Our main hypothesis is to detect Covid-19 automatically among other lung diseases by using lung breathing sounds. Therefore, a dataset of lung breathing sound with ten classes has been collected, and a novel lung sounds classification method has been proposed in this paper. This method presents a novel local feature generation technique, and Substitution Box (S-Box) of the present lightweight encryption method is utilized as a pattern. A novel nonlinear pattern is presented based on S-Box, named Present-SBox-Pat (present S-Box pattern). A new pooling-based transformation (maximum tent pooling (MaTP)) is proposed to generate high, middle, and low levels features. It is considered as a preprocessing method of this work. ReliefF and iterative neighbourhood component analysis (RFINCA) selector is used to select the most discriminative and informative features. Two shallow classifiers are used to obtain results. The proposed Present-SBox-Pat and MaTP feature generation network and RFINCA feature selector-based method achieved 95.43% classification accuracy using the SVM classifier. These results demonstrated the success of techniques in generating and selecting features that facilitate the task of classifiers.
Anahtar Kelime: Lung breathing sound present SBox pattern Covid-19 maximum tent pooling 2 levelled feature selector

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA TUNCER T, AKBAL E, Aydemir E, Brahim Belhaouari S, DOGAN S (2021). A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. , 165 - 174. 10.36222/ejt.986599
Chicago TUNCER Türker,AKBAL Erhan,Aydemir Emrah,Brahim Belhaouari Samir,DOGAN Sengul A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. (2021): 165 - 174. 10.36222/ejt.986599
MLA TUNCER Türker,AKBAL Erhan,Aydemir Emrah,Brahim Belhaouari Samir,DOGAN Sengul A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. , 2021, ss.165 - 174. 10.36222/ejt.986599
AMA TUNCER T,AKBAL E,Aydemir E,Brahim Belhaouari S,DOGAN S A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. . 2021; 165 - 174. 10.36222/ejt.986599
Vancouver TUNCER T,AKBAL E,Aydemir E,Brahim Belhaouari S,DOGAN S A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. . 2021; 165 - 174. 10.36222/ejt.986599
IEEE TUNCER T,AKBAL E,Aydemir E,Brahim Belhaouari S,DOGAN S "A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound." , ss.165 - 174, 2021. 10.36222/ejt.986599
ISNAD TUNCER, Türker vd. "A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound". (2021), 165-174. https://doi.org/10.36222/ejt.986599
APA TUNCER T, AKBAL E, Aydemir E, Brahim Belhaouari S, DOGAN S (2021). A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. European Journal of Technique, 11(2), 165 - 174. 10.36222/ejt.986599
Chicago TUNCER Türker,AKBAL Erhan,Aydemir Emrah,Brahim Belhaouari Samir,DOGAN Sengul A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. European Journal of Technique 11, no.2 (2021): 165 - 174. 10.36222/ejt.986599
MLA TUNCER Türker,AKBAL Erhan,Aydemir Emrah,Brahim Belhaouari Samir,DOGAN Sengul A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. European Journal of Technique, vol.11, no.2, 2021, ss.165 - 174. 10.36222/ejt.986599
AMA TUNCER T,AKBAL E,Aydemir E,Brahim Belhaouari S,DOGAN S A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. European Journal of Technique. 2021; 11(2): 165 - 174. 10.36222/ejt.986599
Vancouver TUNCER T,AKBAL E,Aydemir E,Brahim Belhaouari S,DOGAN S A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound. European Journal of Technique. 2021; 11(2): 165 - 174. 10.36222/ejt.986599
IEEE TUNCER T,AKBAL E,Aydemir E,Brahim Belhaouari S,DOGAN S "A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound." European Journal of Technique, 11, ss.165 - 174, 2021. 10.36222/ejt.986599
ISNAD TUNCER, Türker vd. "A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound". European Journal of Technique 11/2 (2021), 165-174. https://doi.org/10.36222/ejt.986599