Google fit smartphone application or Gt3X Actigraph: which is better for detecting the stepping activity of individuals with stroke?: a validity study

Página do item simplificado
dc.creatorJanaíne Cunha Polese
dc.creatorGiselle Silva e Faria
dc.creatorGiane Amorim Ribeiro Samora
dc.creatorLorena Pereira Lima
dc.creatorChristina Danielli Coelho de Morais Faria
dc.creatorAline Alvim Scianni
dc.creatorLuci Fuscaldi Teixeira-Salmela
dc.date.accessioned2022-06-21T15:29:44Z
dc.date.accessioned2025-09-08T23:12:08Z
dc.date.available2022-06-21T15:29:44Z
dc.date.issued2019-07
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doihttps://doi.org/10.1016/j.jbmt.2019.01.011
dc.identifier.issn1360-8592
dc.identifier.urihttps://hdl.handle.net/1843/42575
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofJournal of Bodywork and Movement Therapies
dc.rightsAcesso Restrito
dc.subjectHemiplegia
dc.subjectValidação de programas de computador
dc.subjectSmartphone
dc.subjectAcelerometria
dc.subjectAcidente vascular cerebral
dc.subjectCaminhada
dc.subject.otherHemiplegia
dc.subject.otherValidation
dc.subject.otherCell phone
dc.subject.otherAccelerometry
dc.titleGoogle fit smartphone application or Gt3X Actigraph: which is better for detecting the stepping activity of individuals with stroke?: a validity study
dc.typeArtigo de periódico
local.citation.epage465
local.citation.issue3
local.citation.spage461
local.citation.volume23
local.description.resumoObjective: 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.
local.identifier.orcidhttps://orcid.org/ 0000-0003-3366-1545
local.identifier.orcidhttps://orcid.org/ 0000-0001-5102-369X
local.identifier.orcidhttps://orcid.org/0000-0001-9784-9729
local.identifier.orcidhttps://orcid.org/0000-0002-5968-2195
local.identifier.orcidhttps://orcid.org/0000-0001-8358-8636
local.publisher.countryBrasil
local.publisher.departmentEEF - DEPARTAMENTO DE FISIOTERAPIA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S1360859219300658?via%3Dihub#!

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Periódico

Logo UFMG