Published on in Vol 14 (2025)
This is a member publication of University of Münster
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/69686, first published
.
Cross-Platform Availability of Smartphone Sensors for Depression Indication Systems: Mixed-Methods Umbrella Review
Cross-Platform Availability of Smartphone Sensors for Depression Indication Systems: Mixed-Methods Umbrella Review
Journals
- Busshart L, Petrovic M, Amin R, Hegerl U. Distinguishing Common Digital Phenotyping and Self-Report Parameters for Monitoring and Predicting Depression: Scoping Review. JMIR mHealth and uHealth 2026;14:e70840 View
- Wang M, Peng F, Mu W, Tao Y, Zhao H, Yin Q, Yan Z, Shi C. Prospective observational study on behavioral monitoring, disease progression assessment, and screening model development for patients with depression using wearable devices and mobile phones: protocol. Frontiers in Psychiatry 2026;17 View
- Schreynemackers S, Leimhofer J, Petrovic M, Reich H, Ludwig S, Dominik A, Heider D, Hegerl U. Individual-Level Modeling of Depressive Symptom Severity Using Smartphone and Wearable Data: Time-Aware 1-Year Study With Feature-Group Contributions. JMIR Formative Research 2026;10:e99204 View
- Negi S, Keller R, Mair J, Kleim B, Allemand M, von Wangenheim F, Kowatsch T, Mishra V. Evaluating Cross-Study Generalization of Receptivity Models for Just-in-Time Adaptive Interventions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2026;10(3):1 View
- Zhao W, Go K. Short-Term Emotion Change Prediction With Compact and Informative Mobile Sensing Inputs. IEEE Access 2026;14:149189 View