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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제15권 제5호
- 발행연도
- 2019.1
- 수록면
- 1,068 - 1,081 (14page)
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초록· 키워드
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Signal complexity is one point of view to analyze the biological signal. It arises as a result of the physiologicalsignal produced by biological systems. Signal complexity can be used as a method in extracting the feature fora biological signal to differentiate a pathological signal from a normal signal. In this research, Hjorthdescriptors, one of the signal complexity measurement techniques, were measured on signal sub-band as thefeatures for lung sounds classification. Lung sound signal was decomposed using two wavelet analyses: discretewavelet transform (DWT) and wavelet packet decomposition (WPD). Meanwhile, multi-layer perceptron andN-fold cross-validation were used in the classification stage. Using DWT, the highest accuracy was obtained at97.98%, while using WPD, the highest one was found at 98.99%. This result was found better than the multiscaleHjorth descriptor as in previous studies.
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참고문헌 (25)
참고문헌 신청
A. Bohadana / 2014 / Fundamentals of lung auscultation / New England Journal of Medicine 370(8):744~751
J. Cohen / 2011 / Wavelets and Multiscale Analysis / Birkhauser
Z. Moussavi / 2004 / Heart sound cancellation based on multiscale products and linear prediction / Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society :3840~3843
L. J. Hadjileontiadis / 2005 / Wavelet-based enhancement of lung and bowel sounds using fractal dimension thresholding. Part I: Methodology / IEEE Transactions on Biomedical Engineering 52(6):1143~1148
S. Uysal / 2014 / Classification of normal and abnormal lung sounds using wavelet coefficients / Proceedings of 2014 22nd Signal Processing and Communications Applications Conference (SIU) :2138~2141
J. Cohen / 2011 / Wavelets and Multiscale Analysis / Birkhauser
Z. Moussavi / 2004 / Heart sound cancellation based on multiscale products and linear prediction / Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society :3840~3843
L. J. Hadjileontiadis / 2005 / Wavelet-based enhancement of lung and bowel sounds using fractal dimension thresholding. Part I: Methodology / IEEE Transactions on Biomedical Engineering 52(6):1143~1148
S. Uysal / 2014 / Classification of normal and abnormal lung sounds using wavelet coefficients / Proceedings of 2014 22nd Signal Processing and Communications Applications Conference (SIU) :2138~2141
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