Validated smartphone module as biomarker of mental disorder

Prior research by has shown that automatically generated smartphone data are valid electronic markers of early depression and upcoming mania in adult patients with bipolar disorder. Smartphone-based diagnosis has not been validated with younger people. We will investigate key biomarkers in automatically generated smartphone data on social activity, physical activity and voice features to help discriminate young people with depression and bipolar disorder from healthy young people. We will design and evaluate a smartphone based biomarker for young people with mental health issues and integrate it with smartphone based cognitive behavioural therapy application. Results of the initial trial of the new system will be reported.