Experimental analysis of a mobile health system for mood disorders
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Using SMS to provide continuous assessment and improve health outcomes for children with asthma
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Monitoring children's developmental progress using augmented toys and activity recognition
Personal and Ubiquitous Computing
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare
Monitoring activity of patients with bipolar disorder using smart phones
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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We describe a real life study of the use of smart phone based sensors for state monitoring of bipolar disorder (manic-depressive disorder). The study was conducted with 10 patients in a rural area of Austria under the supervision of a local psychiatric hospital. It shows initial evidence that relatively simple features derived from location, motion and phone call patterns are a good indication of state transitions.