Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease

Abstract Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional...

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Autores principales:	Charlotte Schubert, Gareth Archer, Jo M. Zelis, Sarah Nordmeyer, Kilian Runte, Anja Hennemuth, Felix Berger, Volkmar Falk, Pim A. L. Tonino, Rod Hose, Herman ter Horst, Titus Kuehne, Marcus Kelm
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/c3de71e5bdc4492693a6132c97809081
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spelling	oai:doaj.org-article:c3de71e5bdc4492693a6132c978090812021-12-02T15:22:51ZWearable devices can predict the outcome of standardized 6-minute walk tests in heart disease10.1038/s41746-020-0299-22398-6352https://doaj.org/article/c3de71e5bdc4492693a6132c978090812020-07-01T00:00:00Zhttps://doi.org/10.1038/s41746-020-0299-2https://doaj.org/toc/2398-6352Abstract Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total of n = 107 sensor datasets with 1,019,748 min of recordings were analysed. Based on heart rate recordings and literature information, activity levels were determined and compared to results from a 6-minute walk test. The percentage of time spent in moderate activity was a predictor for the achievement of gender, age and body mass index-specific 6-minute walk distances (p < 0.001; R 2 = 0.48). The uncertainty of these predictions is demonstrated.Charlotte SchubertGareth ArcherJo M. ZelisSarah NordmeyerKilian RunteAnja HennemuthFelix BergerVolkmar FalkPim A. L. ToninoRod HoseHerman ter HorstTitus KuehneMarcus KelmNature PortfolioarticleComputer applications to medicine. Medical informaticsR858-859.7ENnpj Digital Medicine, Vol 3, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Charlotte Schubert Gareth Archer Jo M. Zelis Sarah Nordmeyer Kilian Runte Anja Hennemuth Felix Berger Volkmar Falk Pim A. L. Tonino Rod Hose Herman ter Horst Titus Kuehne Marcus Kelm Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
description	Abstract Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total of n = 107 sensor datasets with 1,019,748 min of recordings were analysed. Based on heart rate recordings and literature information, activity levels were determined and compared to results from a 6-minute walk test. The percentage of time spent in moderate activity was a predictor for the achievement of gender, age and body mass index-specific 6-minute walk distances (p < 0.001; R 2 = 0.48). The uncertainty of these predictions is demonstrated.
format	article
author	Charlotte Schubert Gareth Archer Jo M. Zelis Sarah Nordmeyer Kilian Runte Anja Hennemuth Felix Berger Volkmar Falk Pim A. L. Tonino Rod Hose Herman ter Horst Titus Kuehne Marcus Kelm
author_facet	Charlotte Schubert Gareth Archer Jo M. Zelis Sarah Nordmeyer Kilian Runte Anja Hennemuth Felix Berger Volkmar Falk Pim A. L. Tonino Rod Hose Herman ter Horst Titus Kuehne Marcus Kelm
author_sort	Charlotte Schubert
title	Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_short	Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_full	Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_fullStr	Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_full_unstemmed	Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
title_sort	wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/c3de71e5bdc4492693a6132c97809081
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Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease

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