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The PARAChute project: remote monitoring of posture and gait for fall prevention

  • David Hewson
    ,
  • Jacques Duchêne
    ,
  • François Charpillet
    ,
  • Jamal Saboune
    ,
  • Valerie Michel-Pellegrino
    ,
  • Hassan Amoud
Research Output: Contribution to journal Article Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

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 two million 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.

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Journal (Volume, Issue Number)

Eurasip Journal on Advances in Signal Processing

Publication milestones

  • Published - 01/01/2007

Publication status

Published - 01/01/2007

ISSN

1687-6172

External Publication IDs

  • handle.net: 10547/623449
  • Scopus: 34347352155

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