Do extreme values of daily-life gait characteristics provide more information about fall risk than median values?

JMIR Research Protocols

Volumn 4, Issue 1, 2015, Pages

  Rispens, Sietse M ^a   van Schooten, Kimberley S ^a   Pijnappels, Mirjam ^a   Daffertshofer, Andreas ^a   Beek, Peter J ^a   van Dieën, Jaap H ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

Accelerometry; Accidental falls; Activities of daily living; Aged; Gait; Logistic models; Risk assessment; Walking

Indexed keywords

EID: 85081281558     PISSN: None     EISSN: 19290748     Source Type: Journal    
DOI: 10.2196/resprot.3931     Document Type: Article

References (23)

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