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This paper is in the following e-collection/theme issue:

mHealth for Screening (446) Depression and Mood Disorders; Suicide Prevention (2398) Wearable Devices and Sensors (1533) Validity, Reliability, and Bias (132)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91479, first published .
Woman checks smartwatch displaying actigraphy data for depressive symptoms detection.

Passive Screening for Depressive Symptoms Using Daily Wrist Actigraphy and Deep Learning: Model Development and Validation Study

Passive Screening for Depressive Symptoms Using Daily Wrist Actigraphy and Deep Learning: Model Development and Validation Study

Authors of this article:

Doljinsuren Enkhbayar1 Author Orcid Image ;   Somin Oh1 Author Orcid Image ;   Jinhee Lee2 Author Orcid Image ;   Min-Hyuk Kim2 Author Orcid Image ;   Erdenebayar Urtnasan3 Author Orcid Image ;   Jaehong Key1 Author Orcid Image
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