HCOct 6, 2015
Smartphones in Mental Health: Detecting Depressive and Manic Episodes
arXiv:1510.01665v277 citations
Originality Synthesis-oriented
AI Analysis
This addresses the need for early detection of mental health episodes in bipolar disorder patients, but it is incremental as it applies existing sensor analysis methods to a new application.
The study tackled the problem of detecting depressive and manic episodes in bipolar disorder patients by using smartphone sensor data, and it found that this data could recognize episodes and signal onset with objective measurements.
An observational study with patients diagnosed with bipolar disorder investigates whether data from smartphone sensors can be used to recognize bipolar disorder episodes and detect behavior changes that can signal an onset of an episode using objective data.