Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes.

Kamran, Fahad; Le, Victor C; Frischknecht, Adam; Wiens, Jenna; Sienko, Kathleen H

Kamran, Fahad; Le, Victor C; Frischknecht, Adam; Wiens, Jenna; Sienko, Kathleen H.

Afiliación

Kamran F; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.
Le VC; Department of Mechanical Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.
Frischknecht A; Department of Pediatrics, Tanner Clinic, Layton, UT 84041, USA.
Wiens J; Division of Computer Science and Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.
Sienko KH; Department of Mechanical Engineering, University of Michigan College of Engineering, Ann Arbor, MI 48109, USA.

Sensors (Basel) ; 21(13)2021 Jun 29.

Article en En | MEDLINE | ID: mdl-34210068

Asunto(s)

Deportes; Dispositivos Electrónicos Vestibles; Atletas; Deshidratación; Ejercicio Físico; Femenino; Humanos; Masculino

Palabras clave

dehydration; exercise; heart rate; machine learning; orthostatic hypotension

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Deportes / Dispositivos Electrónicos Vestibles Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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