Title :
Analysis and classification of respiratory sounds by signal coherence method
Author :
Baydar, K. Serhat ; Ertuzun, Aysin ; Kahya, Yasemin P.
Author_Institution :
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
Abstract :
In this study, the application of signal coherence method for parametric representation and automatic classification of the respiratory sounds is investigated. Signal coherence is a measure of spectral stability of signals both in terms of amplitude and phase and it basically compares a mean spectrum of the signal which is assumed to be constant throughout the signal and the amount of variation around this mean spectrum.
Keywords :
acoustic signal processing; coherence; feature extraction; pneumodynamics; signal classification; signal representation; spectral analysis; feature extraction; respiratory sound classification; respiratory sound representation; respiratory sounds; signal coherence; spectral stability; Acoustical engineering; Coherence; Discrete Fourier transforms; Feature extraction; Fourier series; Frequency; Phase measurement; Signal analysis; Stability; Stochastic processes;
Conference_Titel :
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Print_ISBN :
0-7803-7789-3
DOI :
10.1109/IEMBS.2003.1280537
