Agnes Grünerbl
ABSTRACT
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.
- Monitoring, treatment and prediction of bipolar disorder episodes, 2011--2013. http://http://www.monarca-project.eu/.Google Scholar
- J. E. Bardram. Pervasive healthcare as a scientific discipline. Methods of information in medicine, 47(3):178--185, 2008.Google Scholar
- P. Bonato. Clinical applications of wearable technology. Conference Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society, 2009:6580--6583.Google Scholar
- J. M. Bopp, D. J. Miklowitz, G. M. Goodwin, W. Stevens, J. M. Rendell, and J. R. Geddes. The longitudinal course of bipolar disorder as revealed through weekly text messaging: a feasibility study. Bipolar Disorders, 12(3):327--334, 2010.Google ScholarCross Ref
- M. N. Burns, M. Begale, J. Duffecy, D. Gergle, C. J. Karr, E. Giangrande, and D. C. Mohr. Harnessing Context Sensing to Develop a Mobile Intervention for Depression. Journal of Medical Internet Research, 13(3), 2011.Google ScholarCross Ref
- D. G. für Bipolare Störung e.V. Bipolare störungen - eine erkrankung mit zwei gesichtern, 2011. http://www.dgbs.de/.Google Scholar
- R. LiKamWa, Y. Liu, N. D. Lane, and L. Zhong. Can your smartphone infer your mood? In 9th ACM Conference on Embedded Networked Sensor Systems (SenSys 2011), Seattle, WA, USA, 2011. ACM.Google Scholar
- T. Massey, G. Marfia, M. Potkonjak, and M. Sarrafzadeh. Experimental analysis of a mobile health system for mood disorders. Trans. Info. Tech. Biomed., 14(2):241--247, Mar. 2010. Google ScholarDigital Library
- E. McAdams, A. Krupaviciute, C. Gehin, A. Dittmar, G. Delhomme, P. Rubel, J. Fayn, and J. McLaughlin. Wearable electronic systems: Applications to medical diagnostics/monitoring. Wearable Monitoring Systems, page 179, 2010.Google Scholar
- N. I. of Metal Health. Bipolar disorder, 2009. http://www.nimh.nih.gov/health/publications/bipolar-disorder.Google Scholar
- C. Orwat, A. Graefe, and T. Faulwasser. Towards pervasive computing in health care - a literature review. BMC Medical Informatics and Decision Making, 8(26), 2008.Google Scholar
- R. Paradiso, A. M. Bianchi, K. Lau, and E. P. Scilingo. Psyche: personalised monitoring systems for care in mental health. Conference Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society, 2010(1983):3602--5.Google Scholar
- M. E. Pollack. The use of ai to assist elders with cognitive impairment for an aging population. AI Magazine, 26(2):9--24, 2005.Google Scholar
- T. L. Westeyn, G. D. Abowd, T. E. Starner, J. M. Johnson, P. W. Presti, and K. A. Weaver. Monitoring children's developmental progress using augmented toys and activity recognition. Personal Ubiquitous Comput., 16(2):169--191, Feb. 2012. Google ScholarDigital Library
- T.-J. Yun, H. Y. Jeong, T. D. Hill, B. Lesnick, R. Brown, G. D. Abowd, and R. I. Arriaga. Using sms to provide continuous assessment and improve health outcomes for children with asthma. In Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium, pages 621--630, New York, NY, USA, 2012. ACM. Google ScholarDigital Library
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