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The validity of smartphone-based spatiotemporal gait measurements during walking with and without head turns: Comparison with the GAITRite® system.
Olsen, Sharon; Rashid, Usman; Barbado, David; Suresh, Priyadharshini; Alder, Gemma; Khan Niazi, Imran; Taylor, Denise.
Afiliação
  • Olsen S; Rehabilitation Innovation Centre, Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand. Electronic address: Sharon.Olsen@aut.ac.nz.
  • Rashid U; Rehabilitation Innovation Centre, Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand; Centre for Chiropractic Research, New Zealand College of Chiropractic, PO Box 113-044, Newmarket, Auckland 1149, New Zealand.
  • Barbado D; Department of Sport Science, Sports Research Centre, Miguel Hernandez University of Elche, Avda. de la Universidad s/n, Elche 03202, Spain; Institute for Health and Biomedical Research (ISABIAL Foundation), Avda. Pintor Baeza, 12 HGUA, Alicante 03550, Spain.
  • Suresh P; Rehabilitation Innovation Centre, Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand.
  • Alder G; Rehabilitation Innovation Centre, Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand.
  • Khan Niazi I; Rehabilitation Innovation Centre, Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand; Centre for Chiropractic Research, New Zealand College of Chiropractic, PO Box 113-044, Newmarket, Auckland 1149, New Zealand; Centre for S
  • Taylor D; Rehabilitation Innovation Centre, Health and Rehabilitation Research Institute, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand.
J Biomech ; 162: 111899, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38128468
ABSTRACT
Smartphone accelerometry has potential to provide clinicians with specialized gait analysis not available in most clinical settings. The Gait&Balance Application (G&B App) uses smartphone accelerometry to assess spatiotemporal gait parameters under two conditions walking looking straight ahead and walking with horizontal head turns. This study investigated the validity of G&B App gait parameters compared with the GAITRite® pressure-sensitive walkway. Healthy young and older adults (age range 21-85 years) attended a single session where a smartphone was secured over the lumbosacral junction. Data were collected concurrently with the app and GAITRite® systems as participants completed the two walking conditions. Spatiotemporal gait parameters for 54 participants were determined from both systems and agreement evaluated with partial Pearson's correlation coefficients and limits of agreement. The results demonstrated moderate to excellent validity for G&B App measures of step time (rp 0.97, 95 % CI [0.96, 0.98]), walking speed (rp 0.83 [0.78, 0.87]), and step length (rp 0.74, [0.66, 0.80]) when walking looking straight ahead, and results were comparable with head turns. The validity of walking speed and step length measures was influenced by sex and height. G&B App measures of step length variability, step time variability, step length asymmetry, and step time asymmetry had poor validity. The G&B App has potential to provide valid measures of unilateral and bilateral step time, unilateral and bilateral step length, and walking speed, under two walking conditions in healthy young and older adults. Further research should validate this tool in clinical conditions and optimise the algorithm for demographic characteristics.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Smartphone / Marcha Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Smartphone / Marcha Idioma: En Ano de publicação: 2024 Tipo de documento: Article