Linked Life Data

18602636

Source:http://linkedlifedata.com/resource/pubmed/id/18602636

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2008-8-4
pubmed:abstractText
The purpose of this study was to analyse the kinematic pattern of elderly group during manual wheelchair propulsion. Fourteen elderly persons propelled manually in a wheelchair ergometer. A new objective method based on metrical and topological aspect of the contour of hand center of mass is proposed. A geometric mapping transforms the original time-hand trajectory to a normalized couple of features (R1 and R2). Fuzzy clustering was used to classify wheelchair propulsion pattern based on their features R1 and R2. Four classes were found in order to represent different propulsion pattern. Significant differences were found between classes for fraction of effective force and the biomechanical effectiveness. It was also found that classes are posture dependent and this can help in developing rehabilitation programmes for different groups of patients.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0021-9290
pubmed:author
pubmed:issnType
Print
pubmed:day
7
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2438-45
pubmed:dateRevised
2009-11-11
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Stroke pattern classification during manual wheelchair propulsion in the elderly using fuzzy clustering.
pubmed:affiliation
Laboratoire de Recherche en Imagerie et Orthopédie, Centre de Recherche du Centre Hospitalier Universitaire de Montréal (CHUM), Notre-Dame, Pavillon J.A. de Sève, #Y-1614, 1560 Sherbrooke Est, Montréal, Québec, Canada H2L 4M1. rachid.aissaoui@etsmtl.ca
pubmed:publicationType
Journal Article