For the last few years, we have been involved in a project that seeks to use experience sampling data taken from smartphones, wearable devices (FitBits) and surveys to get a better understanding of the time course of Bipolar Spectrum Disorder. The ultimate aim of this research is to be able to predict adverse events and to intervene before they occur. The project is led by Dr. Tanya Hanstock and Professor Frances Kay-Lambkin at the University of Newcastle and includes several psychology masters students. To give a sense of the kind of work we have been doing, I have included the completed students thesis titles below along with links to the theses.
- Monitoring Physical Activity to Predict Mood State in Bipolar Disorder by Catherine M. King
- Bipolar Disorder and Sleep Tracking Using the Fitbit Charge HR by Madeleine V. Drew
- Exploring social activity in bipolar disorder using automated smartphone tracking by Nicole Carter
- Smartphone Monitoring of Social Stimulation in Bipolar Disorder: An Observational Prospective Pilot Study by Dianne E. Head
Simon Dennis 