Personal health systems for bipolar disorder Anecdotes, challenges and lessons learnt from MONARCA project

Proceedings of the 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, PervasiveHealth 2013

Volumn , Issue , 2013, Pages 424-429

  Mayora, Oscar ^a   Arnrich, Bert ^b   Bardram, Jakob ^c   Drager, Carsten ^d   Finke, Andrea ^e   Frost, Mads ^c   Giordano, Silvia ^d   Gravenhorst, Franz ^b   Grunerbl, Agnes ^f   Haring, Christian ^d   Haux, Reinhold ^d   Lukowicz, Paul ^f   Muaremi, Amir ^b   Mudda, Steven ^d   Ohler, Stefan ^d   Puiatti, Alessandro ^d   Reichwaldt, Nina ^d   Scharnweber, Corinna ^d   Troester, Gerhard ^b   Kessing, Lars Vedel ^d   Wurzer, Gabriel ^d   more..

^a CREATE NET   (United States)

^b SWISS FEDERAL INSTITUTE OF TECHNOLOGY   (Switzerland)

^c IT UNIVERSITY OF COPENHAGEN   (Denmark)

^d PLRI BITZ ^*  (Austria)

^e BIELEFELD UNIVERSITY   (Germany)

^f Rheinland Pfälzische Technische Universität Kaiserslautern Landau   (Germany)

Author keywords

bipolar disorder; lessons learnt; mental health; personal health systems

Indexed keywords

BIPOLAR DISORDER; EU PROJECTS; INNOVATIVE SOLUTIONS; LESSONS LEARNT; MENTAL HEALTH; MENTAL HEALTH TREATMENTS; PERSONAL HEALTH SYSTEMS;

HEALTH; HEALTH CARE;

UBIQUITOUS COMPUTING;

EID: 84883064113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2013.252123     Document Type: Conference Paper

References (11)

1. Mayora, 0., "The MONARCA Project for Bipolar Disorder Treatment.", Journal of CyberTherapy & Rehabilitation. Vol. 1, 2011.
2. Amrich, B., O. Mayora, J. Bardram, and G. Troster, "Pervasive Healthcare-Paving the Way for a Pervasive, User-Centered and Preventive Healthcare Model", Journal of Methods of Information in Medicine, Vol. I, pp. 67-73., 2010.
3. Arnrich B, Osmani V, and Bardram J. Mental health and the impact of ubiquitous technologies. Personal and Ubiquitous Computing 17(2):211-213 (2013).
4. Bonsall, M.B., Wallace-Hadrill, S.M., Geddes, J.R., Goodwin, G.M., and Holmes, E.A. 2012. Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder. Proc. BioI. Sci. 279: 916-924.
5. Sobin, C. and Sackeim, H.A. 1997. Psychomotor symptoms of depression. Am. J. Psychiatry 154: 4-17.
6. Benazzi, F. 2009. What is hypomania? Tetrachoric factor analysis and kernel estimation of DSM-TV hypomanic symptoms. J Clin Psychiatry 70: 1514-1521.
7. Weinstock, L.M. and Miller, 1. W. 2008. Functional impairment as a predictor of short-term symptom course in bipolar 1 disorder. Bipolar Disord. \0: 437-442.
8. Kuhs, H. and Reschke, D. 1992. Psychomotor activity in unipolar and bipolar depressive patients. Psychopathology 25: 109-116.
9. Bardram, 1.E., Frost, M., Szanto, K., and Marcu, G. 2012. The MONARCA Self-Assessment System-A Persuasive Personal Monitoring System for Bipolar Patients. Jakob E. Bardram, Mads Frost, Karoly Szanto, Gabriela Marcu.
10. Gruenerbl A., Bahle G. Weppner 1. and Lukowcz P., Towards Smartphone based Monitoring of Bipolar Disorder, Proceedings of the Second ACM Workshop on Mobile Systems, Applications, and Services for Healthcare. (SenSys-20 12), Toronto, ON, Canada, ACM, 2012.
11. I I] Cornelia Setz, Franz Gravenhorst, Johannes Schumm, Bert Arnrich, and Gerhard Troster. Towards long term monitoring of electrodermal activity in daily life. Personal and Ubiquitous Computing Journal, 2013