MOPET: A context-aware and user-adaptive wearable system for fitness training
Artificial Intelligence in Medicine
Theory-driven design strategies for technologies that support behavior change in everyday life
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The design and evaluation of personalised ambient mental health monitors
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Social fMRI: Investigating and shaping social mechanisms in the real world
Pervasive and Mobile Computing
Towards smart phone based monitoring of bipolar disorder
Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for HealthCare
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Mobile computing is changing the landscape of clinical monitoring and self-monitoring. One of the major impacts will be in healthcare, where increase in number of sensing modalities is providing more and more information on the state of overall wellbeing, behaviour and health. There are numerous applications of mobile computing that range from wellbeing applications, such as physical fitness, stress or burnout up to applications that target mental disorders including bipolar disorder. Use of information provided by mobile computing devices can track the state of the subjects and also allow for experience sampling in order to gather subjective information. This paper reports on the results obtained from a medical trial with monitoring of bipolar disorder patients and how the episodes of the diseases correlate to the analysis of the data sampled from mobile phone acting as a monitoring device.