Sound Detection and Classification for Medical Telesurvey - Archive ouverte HAL
Communication Dans Un Congrès Année : 2004

Sound Detection and Classification for Medical Telesurvey

Résumé

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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Dates et versions

hal-01088243 , version 1 (01-12-2014)

Identifiants

  • HAL Id : hal-01088243 , version 1

Citer

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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