Automatic detection of pain using machine learning.

Winslow, Brent D; Kwasinski, Rebecca; Whirlow, Kyle; Mills, Emily; Hullfish, Jeffrey; Carroll, Meredith

Winslow, Brent D; Kwasinski, Rebecca; Whirlow, Kyle; Mills, Emily; Hullfish, Jeffrey; Carroll, Meredith.

Afiliación

Winslow BD; Design Interactive, Inc., Orlando, FL, United States.
Kwasinski R; Design Interactive, Inc., Orlando, FL, United States.
Whirlow K; Design Interactive, Inc., Orlando, FL, United States.
Mills E; Design Interactive, Inc., Orlando, FL, United States.
Hullfish J; Design Interactive, Inc., Orlando, FL, United States.
Carroll M; Arcanium Software, LLC, Tampa, FL, United States.

Front Pain Res (Lausanne) ; 3: 1044518, 2022.

Article en En | MEDLINE | ID: mdl-36438448

Palabras clave

classification; heart rate variability; machine learning; pain; wearable devices

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pain Res (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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