Automated stress detection using mobile application and wearable sensors improves symptoms of mental health disorders in military personnel.

Winslow, Brent D; Kwasinski, Rebecca; Hullfish, Jeffrey; Ruble, Mitchell; Lynch, Adam; Rogers, Timothy; Nofziger, Debra; Brim, William; Woodworth, Craig

Winslow, Brent D; Kwasinski, Rebecca; Hullfish, Jeffrey; Ruble, Mitchell; Lynch, Adam; Rogers, Timothy; Nofziger, Debra; Brim, William; Woodworth, Craig.

Afiliación

Winslow BD; Design Interactive, Inc., Orlando, FL, United States.
Kwasinski R; Design Interactive, Inc., Orlando, FL, United States.
Hullfish J; Design Interactive, Inc., Orlando, FL, United States.
Ruble M; Design Interactive, Inc., Orlando, FL, United States.
Lynch A; Design Interactive, Inc., Orlando, FL, United States.
Rogers T; Department of Medical and Clinical Psychology, Center for Deployment Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Nofziger D; Department of Medical and Clinical Psychology, Center for Deployment Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Brim W; Department of Medical and Clinical Psychology, Center for Deployment Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Woodworth C; Department of Behavioral Health, Brook Army Medical Center, Fort Sam Houston, TX, United States.

Front Digit Health ; 4: 919626, 2022.

Article en En | MEDLINE | ID: mdl-36082233

Palabras clave

cognitive behavioral therapy (CBT); mental health; mobile applications; sleep; stress; telemedicine; wearable technology

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Digit Health Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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