Towards personalised ambient monitoring of mental health via mobile technologies

Technology and Health Care

Volumn 18, Issue 4-5, 2010, Pages 275-284

  Prociow, Pawel A ^a   Crowe, John A ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Bipolar disorder; Bluetooth encounters; mobile psychiatry; pervasive monitoring; significant location discovery

Indexed keywords

AMBULATORY MONITORING; ARTICLE; BIPOLAR DISORDER; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INSTRUMENTATION; MALE; MENTAL HEALTH; METHODOLOGY; MOBILE PHONE; TELEMEDICINE; TIME;

BIPOLAR DISORDER; CELLULAR PHONE; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; MALE; MENTAL HEALTH; MONITORING, AMBULATORY; TELEMEDICINE; TIME FACTORS;

EID: 78649507332     PISSN: 09287329     EISSN: None     Source Type: Journal    
DOI: 10.3233/THC-2010-0590     Document Type: Article

References (17)

1. G.Agamennoni, J.Nieto andE.Nebot,MiningGPSData forExtracting Significant Places, IEEEInternationalConference on Robotics and Automation, 2009. ICRA09, 2009, pp. 855-862.
2. M. Bauer et al., Selfreporting software for bipolar disorder: Validation of ChronoRecord by patients with mania, Psychiatry Research 159 (2008), 359-366.
3. N. Eagle, A. Pentland and D. Lazer, Inferring friendship network structure by using mobile phone data, Proceedings of the National Academy of Sciences 106 (2009), 15274.
4. M. Ester, H. Kriegel, J. Sander and X. Xu, A densitybased algorithm for discovering clusters in large spatial databases with noise, Proc. Knowledge Discovery and Data Mining, 1996, pp. 226-231.
5. E. Frank, J.M. Gonzalez and A. Fagiolini, The importance of routine for preventing recurrence in bipolar disorder, The American Journal of Psychiatry 163 (2006), 981-985.
6. S.N. Ghaemi, Mood Disorders: A Practical Guide, London, Blackwell, 2008.
7. B. HofmannWellenhof, H. Lichtenegger and J. Collins, Global Positioning System: Theory and Practice,Wien, Springer 2001.
8. C. James et al., Personalised Ambient Monitoring (PAM) of the mentally ill, in Proc. 4th European Conference of the International Federation for Medical and Biological Engineering ECIFMBE, Antwerp, 2008, pp. 1010-1013.
9. V. Kostakos, E. O Neill and A. Shahi, Building common ground for face to face interactions by sharing mobile device context, Lecture Notes in Computer Science 3987 (2006), 222.
10. S.MalkoffSchwartz et al., Social rhythm disruption and stressful life events in the onset of bipolar and unipolar episodes, Psychological Medicine 30 (2000), 1005-1016.
11. K. Michael, A. McNamee and M.G. Michael, The Emerging Ethics of humancentric GPS Tracking and Monitoring, in Proc. International Conference on Mobile Business, Copenhagen, 2006.
12. R.Morriss, The early warning symptom intervention for patients with bipolar affective disorder, Advances in Psychiatric Treatment 10 (2004), 18.
13. P. Nurmi and J. Koolwaaij, Identifying meaningful locations, Proc. 3rd Annual International Conference on Mobile and Ubiquitous Computing (Mobiquitous), San Jose, CA, USA, Citeseer, 2006.
14. J. Rekimoto, T. Miyaki and T. Ishizawa, LifeTag: WiFibased continuous location logging for life pattern analysis, Lecture Notes in Computer Science 4718 (2007), p. 35.
15. A. Varshavsky, M. Chen, E. de Lara, J. Froehlich, D. Haehnel, J. Hightower, A. LaMarca, F. Potter, T. Sohn, K. Tang and others, Are GSM phones THE solution for localization, Proceedings of the Seventh IEEE Workshop on Mobile Computing Systems & Applications, Citeseer, 2006, pp. 20-28.
16. H. Wittchen and F. Jacobi, Size and burden of mental disorders in Europe - a critical review and appraisal of 27 studies, European Neuropsychopharmacology 15 (2005), 357-376.
17. C. Zhou, S. Shekhar and L. Terveen, Discovering personal paths from sparse gps traces, 1st International Workshop on Data Mining in conjunction with 8th Joint Conference on Information Sciences July, Citeseer, 2005, pp. 3-6.