Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review.

Journal: Journal of medical Internet research
Published Date: Aug 21, 2025

Abstract

BACKGROUND: Depression is highly recurrent and heterogeneous. The unobtrusive, continuous collection of mobile sensing data via smartphones and wearable devices offers a promising approach to monitor and predict individual depression trajectories, distinguish illness states, and anticipate changes in symptom severity.

Authors

  • Rebeka Amin
    Research Centre of the German Foundation for Depression and Suicide Prevention, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Heinrich-Hoffmann-Straße 10, 60528, Frankfurt am Main, Germany.
  • Simon Schreynemackers
    Research Centre of the German Foundation for Depression and Suicide Prevention, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Heinrich-Hoffmann-Straße 10, 60528, Frankfurt am Main, Germany.
  • Hannah Oppenheimer
    Research Centre of the German Foundation for Depression and Suicide Prevention, Department for Psychiatry, Psychosomatics and Psychotherapy, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
  • Milica Petrović
    Faculty of Mechanical Engineering, University of Belgrade, 11120 Belgrade, Serbia.
  • Ulrich Hegerl
    German Foundation for Depression and Suicide Prevention, Goerdelerring 9, 04109, Leipzig, Germany.
  • Hanna Reich
    Research Centre of the German Foundation for Depression and Suicide Prevention, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital, Goethe University, Heinrich-Hoffmann-Straße 10, 60528, Frankfurt am Main, Germany.

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