| Autor: |
Panagiotakopoulos TC; Department of Electrical and Computer Engineering, Wire Communications Laboratory, Uni-versity of Patras, Patras GR-26500, Greece. teop@wcl.ee.upatras.gr, Lyras DP, Livaditis M, Sgarbas KN, Anastassopoulos GC, Lymberopoulos DK |
| Jazyk: |
angličtina |
| Zdroj: |
IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society [IEEE Trans Inf Technol Biomed] 2010 May; Vol. 14 (3), pp. 567-81. Date of Electronic Publication: 2010 Jan 12. |
| DOI: |
10.1109/TITB.2009.2038905 |
| Abstrakt: |
Anxiety disorders are considered the most prevalent of mental disorders. Nevertheless, the exact reasons that provoke them to patients remain yet not clearly specified, while the literature concerning the environment for monitoring and treatment support is rather scarce warranting further investigation. Toward this direction, in this study a context-aware approach is proposed, aiming to provide medical supervisors with a series of applications and personalized services targeted to exploit the multiparameter contextual data collected through a long-term monitoring procedure. More specifically, an application that assists the archiving and retrieving of the patients' health records was developed, and four treatment supportive services were considered. The three of them focus on the discovery of possible associations between the patient's contextual data; the last service aims at predicting the stress level a patient might suffer from, in a given context. The proposed approach was experimentally evaluated quantitatively (in terms of computational efficiency and time requirements) and qualitatively by experts on the field of mental health domain. The feedback received was very encouraging and the proposed approach seems quite useful to the anxiety disorders' treatment. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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