The PARAChute Project: Remote Monitoring of Posture and Gait for Fall Prevention

Abstract : Falls in the elderly are a major public health problem due to both their frequency and their medical and social consequences. In France alone, more than twomillion people aged over 65 years old fall each year, leading to more than 9 000 deaths, in particular in those over 75 years old (more than 8 000 deaths). This paper describes the PARAChute project, which aims to develop a methodology that will enable the detection of an increased risk of falling in community-dwelling elderly. The methods used for a remote noninvasive assessment for static and dynamic balance assessments and gait analysis are described. The final result of the project has been the development of an algorithm for movement detection during gait and a balance signature extracted from a force plate. A multicentre longitudinal evaluation of balance has commenced in order to validate the methodologies and technologies developed in the project.
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EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2007, Special Issue : Signal Processing Technologies for Ambient Intelligence in Home-Care Applications, 2007 (ID : 27421), 15 p. 〈10.1155/2007/27421〉
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Contributeur : Jamal Saboune <>
Soumis le : mardi 11 septembre 2007 - 10:56:05
Dernière modification le : vendredi 1 juin 2018 - 10:52:04

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David Hewson, Jacques Duchene, François Charpillet, Jamal Saboune, Valerie Michel Pellegrino, et al.. The PARAChute Project: Remote Monitoring of Posture and Gait for Fall Prevention. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2007, Special Issue : Signal Processing Technologies for Ambient Intelligence in Home-Care Applications, 2007 (ID : 27421), 15 p. 〈10.1155/2007/27421〉. 〈inria-00170992〉

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