Continous preventive diagnosis for cardiovascular diseases based on stochastic modeling

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Ambient assisted living (AAL)gained much more importance as a self-contained field of research and yieldsap-propriate, promising conceptsforthe assignments followingfrom the actually observable demographic changein Germany. Against this background, this paper proposes ahuman centered assistance systemfor the unobtrusive support of elderly people with special demands in their daily life. Keeping in mind the de-signated user group, the proposal has to care about the imple-mentation of a medical monitoring mechanism for continuous compliance control, preventive diagnosis and early detection of crucial states of health. Thereby, the focus lies on the surveil-lance and prevention of cost-intensive cardiovascular diseases such as heart arrhythmia or heart insufficiency. However, actual telemedical devices —implemented as body attached sensor networks —fail due to numerous reasons in the context of home care scenarios.Hence, it is essential to combine innovative con-tactless measurement methods withdistributed sensor-, actu-ator-and communicator-networks consisting of standardized components which are evaluated under consideration of user preferences in order to derive higher knowledge about the inner system states,respectively user-and environmental-situationsfor the offer of adequate services.With the focus on atrial fibril-lation as one predisposing influence for appoplexia,this paper explains the architectural and functional concept of the men-tioned assistance system and grants an insight view to the im-plemented methods througha vivid modeling example
Original languageEnglish
JournalInternational Journal on Computer and Industrial Management Applications
Issue number3
Pages (from-to)646-654
Number of pages9
Publication statusPublished - 2011