Multimodal Sleep Measurement and Alignment Analysis in Outpatients With Major Depressive Episode: Observational Study
This study demonstrates the feasibility of using actigraphy, smartphone data, and bed sensors for sleep tracking in naturalistic settings with patients. It highlights measurement biases across devices, the impact of seasonal variations on sleep research in unique geographical regions like Finland, and key demographic factors influencing sleep measurement discrepancies.
Authors
- Talayeh Aledavood (ORCID: https://orcid.org/0000-0002-0110-5694)
- Ilya Baryshnikov (ORCID: https://orcid.org/0000-0001-6229-6116)
- Erkki Isometsä (ORCID: https://orcid.org/0000-0001-5956-2399)
- Annasofia Martikkala
- Nguyen Luong (ORCID: https://orcid.org/0000-0003-0122-0286)
- Afrooz Mahir
Institutions
- University of Helsinki (FI)
- Hospital District of Helsinki and Uusimaa (FI)
- Aalto University (FI)
Publication Details
- Journal
- JMIR mhealth and uhealth
- Published
- 2025-11-22
- DOI
- https://doi.org/10.2196/82465
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00