Système de télésurveillance sonore pour la détection de situations de détresse

Abstract : The telemedicine and medical remote monitoring in particular, today represents an effective solution to the health professional shortcomingsfacing to the increasing older population. In addition to the comfort of being at home, this system decreases the cost of long hospitalization. Theproposed system achieves the home medical telesurveillance by means of microphones and medical sensors to detect a distress situation. Thissystem is designed for elderly people at home or for the patient with chronic illness. The experimental apartment is equipped with medicalsensors (tensiometer, oxymeter, balance, etc.), infrared position sensors, and acoustic sensors (1 microphone/room). The originality of the systemcomes from the replacement of the video surveillance with a sound surveillance. The sound analysis system is divided in two stages: firstly, thedetection/extraction of the sounds is operated and secondly, a classification of these sounds in known classes takes place. A wavelet-basedalgorithm with good performance when applied in noisy environments is proposed. The acoustical classification step uses a Gaussian MixtureModels to classify the sounds according to the 7 predefined classes. The detection algorithm allows an equal error rate of 0% for the signal tonoise ratio superior or equal to 10 dB and 4% for the 0 dB. The proposed system coupled with a classical medical telesurveillance system willbring extra information needed for the reliability of the global system.
Document type :
Journal articles
Complete list of metadatas
Contributor : Michel Vacher <>
Submitted on : Tuesday, December 9, 2014 - 11:17:33 AM
Last modification on : Monday, July 8, 2019 - 3:10:07 PM
Long-term archiving on : Tuesday, March 10, 2015 - 10:56:35 AM


Files produced by the author(s)


  • HAL Id : hal-01092659, version 1



Dan Istrate, Michel Vacher, Jean-François Serignat, Laurent Besacier, Eric Castelli. Système de télésurveillance sonore pour la détection de situations de détresse. ITBM-RBM, recherche et ingénierie biomédicale, 2006, 27 (2), pp.35-45. ⟨⟩. ⟨hal-01092659⟩



Record views


Files downloads