Prediction of Depressive Relapses based on Biometric and Psychological Characteristics


Corinna Mielke

Project partners

Hannover Medical School, Centrum of mental health, Clinic of Psychiatry, Social Psychiatry and Psychotherapy


Depression has become a widespread disease, affecting about 4 million people a year. For the treatment of depression, psychotherapy and, if necessary, drug therapy methods are used with good success. However, there is still a risk of relapsing into depression.

In our PREDICT study we want to find out whether there are suitable biometric and psychological characteristics that precede a depressive relapse. Biometric characteristics include movement patterns, heart rate and skin conductivity, for example, which are measured with biosensors. Psychological characteristics include brooding and emotional state, which are measured with psychological test systems.


April 2013 – July 2018