Cargando…
Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347580/ https://www.ncbi.nlm.nih.gov/pubmed/32665977 http://dx.doi.org/10.1038/s41746-020-0299-2 |
_version_ | 1783556616551923712 |
---|---|
author | Schubert, Charlotte Archer, Gareth Zelis, Jo M. Nordmeyer, Sarah Runte, Kilian Hennemuth, Anja Berger, Felix Falk, Volkmar Tonino, Pim A. L. Hose, Rod ter Horst, Herman Kuehne, Titus Kelm, Marcus |
author_facet | Schubert, Charlotte Archer, Gareth Zelis, Jo M. Nordmeyer, Sarah Runte, Kilian Hennemuth, Anja Berger, Felix Falk, Volkmar Tonino, Pim A. L. Hose, Rod ter Horst, Herman Kuehne, Titus Kelm, Marcus |
author_sort | Schubert, Charlotte |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7347580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73475802020-07-13 Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease Schubert, Charlotte Archer, Gareth Zelis, Jo M. Nordmeyer, Sarah Runte, Kilian Hennemuth, Anja Berger, Felix Falk, Volkmar Tonino, Pim A. L. Hose, Rod ter Horst, Herman Kuehne, Titus Kelm, Marcus NPJ Digit Med Article 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. Nature Publishing Group UK 2020-07-09 /pmc/articles/PMC7347580/ /pubmed/32665977 http://dx.doi.org/10.1038/s41746-020-0299-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Schubert, Charlotte Archer, Gareth Zelis, Jo M. Nordmeyer, Sarah Runte, Kilian Hennemuth, Anja Berger, Felix Falk, Volkmar Tonino, Pim A. L. Hose, Rod ter Horst, Herman Kuehne, Titus Kelm, Marcus Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7347580/ https://www.ncbi.nlm.nih.gov/pubmed/32665977 http://dx.doi.org/10.1038/s41746-020-0299-2 |
work_keys_str_mv | AT schubertcharlotte wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT archergareth wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT zelisjom wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT nordmeyersarah wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT runtekilian wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT hennemuthanja wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT bergerfelix wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT falkvolkmar wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT toninopimal wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT hoserod wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT terhorstherman wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT kuehnetitus wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease AT kelmmarcus wearabledevicescanpredicttheoutcomeofstandardized6minutewalktestsinheartdisease |