Sound Detection and Classification for Medical Telesurvey

Abstract : Medical Telesurvey needs human operator assistance by smart information systems. This paper deals with the sound event detection in a noisy environment and presents a first classification approach. Detection is the first step of our sound analysis system and is necessary to extract the sig-nificant sounds before initiating the classification step. An algorithm based on the Wavelet Transform is evaluated in noisy environment. Then Wavelet based cepstral coeffi-cients are proposed and their results are compared with more classical parameters. Detection algorithm and sound classification methods are applied to medical telemonitor-ing. In our opinion, microphones surveying life sounds are better preserving patient privacy than video cameras.
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Contributor : Michel Vacher <>
Submitted on : Monday, December 1, 2014 - 3:44:19 PM
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  • HAL Id : hal-01088243, version 1



M Vacher, D Istrate, Laurent Besacier, Jean-François Serignat, E Castelli. Sound Detection and Classification for Medical Telesurvey. 2nd Conference on Biomedical Engineering, Feb 2004, Innsbrück, Austria. pp.395-398. ⟨hal-01088243⟩



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