Work

Sound Detection and Classification for Medical Telesurvey

Year: 2004

Type: conference-paper

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.

Source: HAL

Authors: Vacher, M, Istrate, D, Besacier, Laurent, Serignat, Jean-François, Castelli, E

Institutions: Trường Đại học Khoa học và Công nghệ Hà Nội, Hanoi University of Science and Technology

Language: English

Topic: Phonocardiography and Auscultation Techniques

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W5438179

FWCI: 20.35

Cites: 5

Cited by: 50

Related to: 10