Continous preventive diagnosis for cardiovascular diseases based on stochastic modeling
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
Authors
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
| Originalsprache | Englisch | 
|---|---|
| Zeitschrift | International Journal on Computer and Industrial Management Applications | 
| Ausgabenummer | 3 | 
| Seiten (von - bis) | 646-654 | 
| Anzahl der Seiten | 9 | 
| ISSN | 2150-7988 | 
| Publikationsstatus | Erschienen - 2011 | 
- Informatik - AAL - Ambient Assistant Living, Ubiquitous Computing
Fachgebiete
- Maschinelles Sehen und Mustererkennung
- Signalverarbeitung
- Management-Informationssysteme
- Strategie und Management
- Artificial intelligence
- Information systems
ASJC Scopus Sachgebiete
- SDG 3 – Gute Gesundheit und Wohlergehen
