Literature DB >> 21097047

Classification of elderly as fallers and non-fallers using Centre of Pressure velocity.

David J Hewson1, Neeraj K Singh, Hichem Snoussi, Jacques Duchene.   

Abstract

Falls are a leading cause of death in the elderly. One of the most common methods of predicting falls is to evaluate balance using force plate measurement of the Centre of Pressure (COP) displacement. This signal, known as a stabilogram, can be decomposed into movement in anteroposterior (AP) and mediolateral (ML) directions. It has been suggested that studying the velocity of COP displacement could lead to new insights into fall risk. The aim of this study was to attempt to classify elderly fallers and non-fallers, as well as control subjects based on COP velocity measurements. Three groups of 10 subjects (controls, elderly fallers, and elderly non-fallers) were compared. Discriminant function analysis was able to correctly classify 90% of the subjects based only on COP velocity measurements. Further work is needed to determine whether this parameter might be of use in longitudinal measurement of fall risk in home-dwelling elderly.

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Year:  2010        PMID: 21097047     DOI: 10.1109/IEMBS.2010.5627649

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  5 in total

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Authors:  Jill C Slaboda; Emily A Keshner
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Journal:  J Neuroeng Rehabil       Date:  2019-06-11       Impact factor: 4.262

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Authors:  Flavien Quijoux; Alice Nicolaï; Ikram Chairi; Ioannis Bargiotas; Damien Ricard; Alain Yelnik; Laurent Oudre; François Bertin-Hugault; Pierre-Paul Vidal; Nicolas Vayatis; Stéphane Buffat; Julien Audiffren
Journal:  Physiol Rep       Date:  2021-11

4.  Co-contraction of ankle muscle activity during quiet standing in individuals with incomplete spinal cord injury is associated with postural instability.

Authors:  Kai Lon Fok; Jae W Lee; Janelle Unger; Katherine Chan; Kristin E Musselman; Kei Masani
Journal:  Sci Rep       Date:  2021-10-01       Impact factor: 4.379

Review 5.  Comparison between Piezoelectric and Piezoresistive Wearable Gait Monitoring Techniques.

Authors:  Zhiyuan Zhang; Zhenyu Xu; Wenbin Chen; Shuo Gao
Journal:  Materials (Basel)       Date:  2022-07-12       Impact factor: 3.748

  5 in total

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