Google fit smartphone application or Gt3X Actigraph: which is better for detecting the stepping activity of individuals with stroke?: a validity study
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Universidade Federal de Minas Gerais
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Artigo de periódico
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Membros da banca
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Objective: To examine the validity of the GT3X® ActiGraph accelerometer and the Google Fit® smartphone application in estimating stepping activity in people with chronic stroke. Methods: Thirty-seven stroke survivors walked along a straight, 10 metre hallway over 5 min at their fastest speeds, wearing the GT3X® 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. Results: The mean estimated steps measured by the GT3X® ActiGraph and Google Fit® 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® ActiGraph (r = 0.56; p < 0.001) and Google Fit® (r = 0.89; p < 0.001). The Google Fit® application demonstrated the highest reliability coefficient (ICC[2,1] = 0.93; p < 0.001; p = 0.37), compared to that of the GT3X® ActiGraph (ICC[2,1] = 0.32; p < 0.001; p < 0.001). Conclusions: The GT3X® 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.
Abstract
Assunto
Hemiplegia, Validação de programas de computador, Smartphone, Acelerometria, Acidente vascular cerebral, Caminhada
Palavras-chave
Hemiplegia, Validation, Cell phone, Accelerometry
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https://www.sciencedirect.com/science/article/pii/S1360859219300658?via%3Dihub#!