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A Mobile Application to Perform the Six-Minute Walk Test (6MWT) at Home: A Random Walk in the Park Is as Accurate as a Standardized 6MWT.
Scherrenberg, Martijn; Bonneux, Cindel; Yousif Mahmood, Deeman; Hansen, Dominique; Dendale, Paul; Coninx, Karin.
Afiliação
  • Scherrenberg M; Heart Centre Hasselt, Jessa Hospital, 3500 Hasselt, Belgium.
  • Bonneux C; Faculty of Medicine and Life Sciences, Hasselt University, 3590 Diepenbeek, Belgium.
  • Yousif Mahmood D; Faculty of Medicine, Antwerp University, 2000 Antwerp, Belgium.
  • Hansen D; HCI and eHealth, Faculty of Sciences, Hasselt University, 3590 Diepenbeek, Belgium.
  • Dendale P; HCI and eHealth, Faculty of Sciences, Hasselt University, 3590 Diepenbeek, Belgium.
  • Coninx K; Heart Centre Hasselt, Jessa Hospital, 3500 Hasselt, Belgium.
Sensors (Basel) ; 22(11)2022 Jun 03.
Article em En | MEDLINE | ID: mdl-35684898
The six-minute walk test (6MWT) provides an objective measurement of a person's functional exercise capacity. In this study, we developed a smartphone application that allows cardiac patients to do a self-administered 6MWT at home on a random trajectory. In a prospective study with 102 cardiovascular disease patients, we aimed to identify the optimal circumstances to perform a smartphone-measured 6MWT, i.e., the best algorithm and the best position to wear the smartphone during the test. Furthermore, we investigated if a random walk is as accurate as a standardized 6MWT. When considering both the reliability and accuracy of the distance walked, the best circumstances to perform a standardized smartphone-measured 6MWT are wearing the smartphone in a strap around the patient's arm and using an algorithm that relies on the processed step count data acquired from Google Fit. Furthermore, we demonstrated that a smartphone-measured walk along a random trajectory is as accurate to determine a cardiac patient's functional exercise capacity as a standardized (smartphone-measured) 6MWT. We conclude this paper by presenting how our 6MWT application can be used in a home setting to remotely follow up on cardiac patients' functional exercise capacity.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aplicativos Móveis Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Aplicativos Móveis Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica