Predicting Chronic Stress among Healthy Females Using Daily-Life Physiological and Lifestyle Features from Wearable Sensors.

Magal, Noa; Rab, Sharona L; Goldstein, Pavel; Simon, Lisa; Jiryis, Talita; Admon, Roee

Magal, Noa; Rab, Sharona L; Goldstein, Pavel; Simon, Lisa; Jiryis, Talita; Admon, Roee.

Afiliación

Magal N; School of Psychological Sciences, University of Haifa, Haifa, Israel.
Rab SL; School of Psychological Sciences, University of Haifa, Haifa, Israel.
Goldstein P; School of Public Health, University of Haifa, Haifa, Israel.
Simon L; School of Psychological Sciences, University of Haifa, Haifa, Israel.
Jiryis T; School of Psychological Sciences, University of Haifa, Haifa, Israel.
Admon R; School of Psychological Sciences, University of Haifa, Haifa, Israel.

Chronic Stress (Thousand Oaks) ; 6: 24705470221100987, 2022.

Article en En | MEDLINE | ID: mdl-35911618

Palabras clave

chronic stress; heart rate; machine learning; sleep; social tension; trier inventory for chronic stress; wearable sensors

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Chronic Stress (Thousand Oaks) Año: 2022 Tipo del documento: Article País de afiliación: Israel Pais de publicación: Estados Unidos

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