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Google fit smartphone application or Gt3X Actigraph: Which is better for detecting the stepping activity of individuals with stroke? A validity study.
- Source :
-
Journal of bodywork and movement therapies [J Bodyw Mov Ther] 2019 Jul; Vol. 23 (3), pp. 461-465. Date of Electronic Publication: 2019 Feb 02. - Publication Year :
- 2019
-
Abstract
- Objective: To examine the validity of the GT3X <superscript>®</superscript> ActiGraph accelerometer and the Google Fit <superscript>®</superscript> smartphone application in estimating stepping activity in people with chronic stroke.<br />Methods: Thirty-seven stroke survivors walked along a straight, 10 metre hallway over 5 min at their fastest speeds, wearing the GT3X <superscript>®</superscript> ActiGraph accelerometer and a smartphone on their paretic lower limb. The criterion-standard measurement made was the actual number of steps, counted by a trained examiner.<br />Results: The mean estimated steps measured by the GT3X <superscript>®</superscript> ActiGraph and Google Fit <superscript>®</superscript> respectively were 276.7 ± 97.6 and 481.0 ± 119.8; that calculated from the examiner's measurements was 472.0 ± 93.9. Statistically significant associations were found between the actual steps and those estimated by the GT3X <superscript>®</superscript> ActiGraph (r = 0.56; p < 0.001) and Google Fit <superscript>®</superscript> (r = 0.89; p < 0.001). The Google Fit <superscript>®</superscript> application demonstrated the highest reliability coefficient (ICC[2,1] = 0.93; p < 0.001; p = 0.37), compared to that of the GT3X <superscript>®</superscript> ActiGraph (ICC[2,1] = 0.32; p < 0.001; p < 0.001).<br />Conclusions: The GT3X <superscript>®</superscript> ActiGraph underestimated the data and may not be the most appropriate device to estimate the stepping activity of stroke patients. The findings support the validity of a smartphone application in estimating the stepping activity of individuals with stroke, when worn on the paretic side.<br /> (Copyright © 2019 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1532-9283
- Volume :
- 23
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Journal of bodywork and movement therapies
- Publication Type :
- Academic Journal
- Accession number :
- 31563356
- Full Text :
- https://doi.org/10.1016/j.jbmt.2019.01.011