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Activity data from wearables can predict functional capacity and frailty in patients

03.24.21 | PLOS

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Activity data from wearables can predict functional capacity and frailty in cardiovascular disease patients.

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Article Title: Activity data from wearables as an indicator of functional capacity in patients with cardiovascular disease

Funding: The study received funding from Apple, Inc. and the Precision Health and Integrated Diagnostics Center at Stanford. None of the funding sources impacted the study design, data collection, analysis, decision to publish, or preparation of this manuscript. The specific roles of these authors are articulated in the 'author contributions' section.

Competing Interests: The authors have read the journal's policy and declare the following competing interests: Apple, Inc provided support via internship salary for SG. There are no patents, products in development or marketed products associated with this research to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Article URL:
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0247834

PLOS ONE

10.1371/journal.pone.0247834

Keywords

Article Information

Contact Information

Oliver Aalami, MD
aalami@stanford.edu

How to Cite This Article

APA:
PLOS. (2021, March 24). Activity data from wearables can predict functional capacity and frailty in patients. Brightsurf News. https://www.brightsurf.com/news/1ZZKKER1/activity-data-from-wearables-can-predict-functional-capacity-and-frailty-in-patients.html
MLA:
"Activity data from wearables can predict functional capacity and frailty in patients." Brightsurf News, Mar. 24 2021, https://www.brightsurf.com/news/1ZZKKER1/activity-data-from-wearables-can-predict-functional-capacity-and-frailty-in-patients.html.