A Mobile System for Treatment of Depression

Pepijn van de Ven, Mário Ricardo Henriques, Mark Hoogendoorn, Michel Klein, Elaine McGovern, John Nelson, Hugo Silva, Eric Tousset

2012

Abstract

This paper presents a mobile treatment system developed as part of the FP7 ICT4Depression project. The project targets the efficient treatment of minor and major depression. To this end, treatments that have traditionally been administered via relatively simple web-based interfaces, have been translated for use on a smart phone. The delivery of the treatments is supported by an evidence-based approach to patient progression and treatment adherence monitoring. The mobile system consists of a graphical user interface, biomedical sensors to measure the patient’s affective state, a medication adherence system, an activity monitor and a server based reasoning system to combine the various sensor data streams and obtain abstracted information relating to patient status and progression, thereby allowing for appropriate feedback and advice for both patient and medical staff.

References

  1. Andrade L. et al.: The epidemiology of major depressive episodes: results from the International Consortium of Psychiatric Epidemiology (ICPE) Surveys (2003) Int J Methods Psychiatr Res.;12(1):pp3-21
  2. Andersson G., Cuijpers P. Pros and cons of on-line cognitive behaviour therapy. (2008) British Journal of Psychiatry, 193, 270-271.
  3. Heron, K. E, Smyth, J. M. Ecological momentary interventions: Incorporating mobile technology into psychosocial and health behaviour treatments (2012) British Journal of Health Psychology, 15, 1-39
  4. Agelink, Marcus, Cavit Boz, Heiko Ullrich, and Jurgen Andrich., (2002) Relationship between major depression and heart rate variability. Clinical consequences and implications for antidepressive treatment. Psychiatry Research 113:139-149.
  5. Fraguas, Renerio, et al., (2007) Autonomic reactivity to induced emotion as potential predictor of response to antidepression treatment. Psychiatry Research 151:169-172.
  6. Iacono, William, David Lykken, Lori Peloquin, Ann Lumry, Roger Valentine, and Vicente Tuason, (1983) Electrodermal Activity in Euthymic Unipolar and Bipolar Affective Disorders. Arch Gen Psychiatry 40:557-565.
  7. Osterberg L, Blaschke T., Adherence to medication. 2005, N Engl JMed, Vol. 5, pp. 487- 97.
  8. Burnier M, Schneider M. P., Chiolero A., Stuci C. L., Brunner H. R., Electronic compliance monitoring in resistant hypertension: the basis for rational therapeutic decisions. 19, (2001), J Hypertension, pp. 335- 41
  9. Schmitz, J. M. et al. Medication compliance during a smoking cessation clinical trial: a brief intervention using MEMS feedback. 2, (2005), J.Behav.Med, Vol. 28, pp. 139-47.
  10. Mooney, M. E., et al. Adding MEMS feedback to behavioral smoking cessation therapy increases compliance with bupropion: a replication and extension study. 4, (2007), Ad dict.Behav, Vol. 32, pp. 875-80
  11. Vrijens B., Belmans A., Matthys K., de Klerk E., Lesaffre E. Effect of patient intervention and compliance-enhancing pharmaceutical care on adherence with atorvastatin. (2006), Pharmacoepidemiol Drug Saf, Vol. 15, pp. 115-21.
  12. Blaschke T, Osterberg L., Vrijens B., Urquhart J. Adherence to Medications: Insights Arising from Studies on the Unreliable Link Between Prescribed and Actual Drug Dosing Histories. (2012) Annu. Rev. Pharmacol. Toxico, (in press).
  13. Bosse, T., Jonker, C. M., Meij, L. van der, Sharpanskykh, A., and Treur, J., Specification and Verification of Dynamics in Agent Models. International Journal of Cooperative Information Systems, vol. 18, 2009, pp. 167 - 193.
  14. Both, F., and Hoogendoorn, M., Utilization of a Virtual Patient Model to Enable Tailored Therapy for Depressed Patients. In: Proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011. Lecture Notes in Computer Science, Springer Verlag, to appear.
  15. Both, F., Hoogendoorn, M., Klein, M. C. A., and Treur, J., Computational Modeling and Analysis of Therapeutical Interventions for Depression. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., and Huang, J. (eds.), Proceedings of the Second International Conference on Brain Informatics, BI'10. Lecture Notes in Artificial Intelligence, vol. 6334, Springer Verlag, 2010, pp. 274-287.
  16. Both, F., Hoogendoorn, M., Klein, M. A., and Treur, J., Formalizing Dynamics of Mood and Depression. In: M. Ghallab, C. D. Spyropoulos, N. Fakotakis and N. Avouris (eds.), Proceedings of the 18th European Conference on Artificial Intelligence, ECAI'08. IOS Press, 2008, pp. 266-270.
  17. Microsoft, "Understanding Transparent Data Encryption," [Online]. Available: http://msdn.microsoft.com/en-us/library/bb934049.aspx.
  18. Microsoft, "Windows Communication Foundation Architecture," [Online]. Available: http://msdn.microsoft.com/en-us/library/ms733128.aspx.
  19. Microsoft, "Fundamental Windows Communication Foundation Concepts," [Online]. Available: http://msdn.microsoft.com/en-us/library/ms731079.aspx.
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Paper Citation


in Harvard Style

van de Ven P., Henriques M., Hoogendoorn M., Klein M., McGovern E., Nelson J., Silva H. and Tousset E. (2012). A Mobile System for Treatment of Depression . In Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health - Volume 1: MindCare, (BIOSTEC 2012) ISBN 978-989-8425-92-8, pages 47-58. DOI: 10.5220/0003891700470058


in Bibtex Style

@conference{mindcare12,
author={Pepijn van de Ven and Mário Ricardo Henriques and Mark Hoogendoorn and Michel Klein and Elaine McGovern and John Nelson and Hugo Silva and Eric Tousset},
title={A Mobile System for Treatment of Depression},
booktitle={Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health - Volume 1: MindCare, (BIOSTEC 2012)},
year={2012},
pages={47-58},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003891700470058},
isbn={978-989-8425-92-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Computing Paradigms for Mental Health - Volume 1: MindCare, (BIOSTEC 2012)
TI - A Mobile System for Treatment of Depression
SN - 978-989-8425-92-8
AU - van de Ven P.
AU - Henriques M.
AU - Hoogendoorn M.
AU - Klein M.
AU - McGovern E.
AU - Nelson J.
AU - Silva H.
AU - Tousset E.
PY - 2012
SP - 47
EP - 58
DO - 10.5220/0003891700470058