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Leveraging Accelerometry and Heart Rate Data from Consumer Wearables to Predict Physical Activity in Children: A Device Agnostic Approach.

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Title: Leveraging Accelerometry and Heart Rate Data from Consumer Wearables to Predict Physical Activity in Children: A Device Agnostic Approach.
Authors: GHOSAL, RAHUL1 RGHOSAL@mailbox.sc.edu, WHITE III, JAMES W.1 JWW4@email.sc.edu, FINNEGAN, OLIVIA1 OLF@email.sc.edu, NELAKUDITI, SRIHARI1 SRIHARI@sc.edu, BROWN III, TREY1 David.Brown4@prismahealth.org, PATE, RUSS1 RPATE@mailbox.sc.edu, WELK, GREG2 gwelk@iastate.edu, DE ZAMBOTTI, MASSIMILIANO3 maxdeze@gmail.com, WANG, YUAN1 WANG578@mailbox.sc.edu, BURKART, SARAH1 SBURKART@mailbox.sc.edu, ADAMS, ELIZABETH L.1 elizabeth-adams@sc.edu, ARMSTRONG, BRIDGET1 BA12@mailbox.sc.edu, BEETS, MICHAEL W.1 BEETS@mailbox.sc.edu, WEAVER, R. GLENN1 weaverrg@mailbox.sc.edu
Source: Medicine & Science in Sports & Exercise. Sep2025, Vol. 57 Issue 9, p2083-2092.
Database: SPORTDiscus with Full Text
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22Medicine+%26+Science+in+Sports+%26+Exercise%22">Medicine & Science in Sports & Exercise</searchLink>. Sep2025, Vol. 57 Issue 9, p2083-2092.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=s3h&AN=187346005
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              M: 09
              Text: Sep2025
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