First steps in adaptation of an evidential network for data fusion in the framework of medical remote monitoring

P A Cavalcante; M A Sehili; M Herbin; D Istrate; F Blanchard; J Boudy; B Dorizzi

doi:10.1109/EMBC.2012.6346360

First steps in adaptation of an evidential network for data fusion in the framework of medical remote monitoring

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:2044-7. doi: 10.1109/EMBC.2012.6346360.

Authors

P A Cavalcante¹, M A Sehili, M Herbin, D Istrate, F Blanchard, J Boudy, B Dorizzi

Affiliation

¹ TSP, Evry. paulo.cavalcante@it-sudparis.eu

PMID: 23366321
DOI: 10.1109/EMBC.2012.6346360

Abstract

This paper presents a medical remote monitoring application which aims at detecting falls. The detection system is based on three modalities: a wearable sensor, infrared sensors and a sound analysis module. The sound analysis is presented briefly. The multimodal fusion is made using the Dempster Schaffer theory through Evidential Network. A first evaluation of the use of data mining techniques in order to extract blindly data representatives is proposed. These representatives are used to continuously increase the system performances. The system is evaluated on a local recorded data base.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Accidental Falls / prevention & control*
Accidental Falls / statistics & numerical data
Actigraphy / methods*
Algorithms*
Artificial Intelligence*
Data Mining / methods*
Decision Support Systems, Clinical
Humans
Monitoring, Ambulatory / methods*
Telemedicine / methods*