Sensor-based Characterization of Depression

Status unconfirmed

Conditions studied: Unipolar Depression

In brief

This is a longitudinal study where individual with Major Depressive Disorder (MDD) will be monitored for 12 weeks. The study aims to develop an objective, sensor-based, algorithm able to detect the presence of depression as well as predict treatment response. Measurement-based treatment is considered optimal and the development of a valid passive, objective, behavioral and biological assessment of depressive symptoms that does not rely on clinician interviews will improve monitoring and ultimately improve treatment significantly.

Key facts

Study ID
NCT04370002
Run by
Massachusetts General Hospital
People needed
100
Starts
2020-01-28
Expected to finish
2024-11-30
Last updated by the study team
2023-11-03

Who can join

Age: 18 and older, up to 75. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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