<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Schubert C</submitter><funding>Deutsche Forschungsgemeinschaft</funding><pagination>92</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7347580</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>3</volume><pubmed_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 &lt;i>n&lt;/i> = 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 w</pubmed_abstract><journal>NPJ digital medicine</journal><pubmed_title>Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease.</pubmed_title><pmcid>PMC7347580</pmcid><funding_grant_id>223533535</funding_grant_id><pubmed_authors>Nordmeyer S</pubmed_authors><pubmed_authors>Archer G</pubmed_authors><pubmed_authors>Hose R</pubmed_authors><pubmed_authors>Tonino PAL</pubmed_authors><pubmed_authors>Falk V</pubmed_authors><pubmed_authors>Runte K</pubmed_authors><pubmed_authors>Berger F</pubmed_authors><pubmed_authors>Kuehne T</pubmed_authors><pubmed_authors>Hennemuth A</pubmed_authors><pubmed_authors>Kelm M</pubmed_authors><pubmed_authors>Schubert C</pubmed_authors><pubmed_authors>Zelis JM</pubmed_authors><pubmed_authors>Ter Horst H</pubmed_authors></additional><is_claimable>false</is_claimable><name>Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease.</name><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 &lt;i>n&lt;/i> = 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 w</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020</publication><modification>2026-04-12T19:48:07.669Z</modification><creation>2026-04-07T13:23:13.711Z</creation></dates><accession>S-EPMC7347580</accession><cross_references><pubmed>32665977</pubmed><doi>10.1038/s41746-020-0299-2</doi></cross_references></HashMap>