Supporting diagnostic decision for early detection of a neurodegenerative disease on a behavioural altered pattern basis

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dc.contributor.authorMartínez, Alberto
dc.contributor.authorEtxeberria, Igone
dc.contributor.authorAldaz, Erkuden
dc.contributor.authorRoedl, Lukas
dc.contributor.authorHochgatterer, Andreas
dc.contributor.authorWöckl, Bernhard
dc.contributor.authorBund, Jürgen
dc.contributor.institutionMedical Technologies
dc.date.accessioned2024-07-24T11:51:40Z
dc.date.available2024-07-24T11:51:40Z
dc.date.issued2011
dc.description.abstractThis paper describes the various aspects and steps of a multidisciplinary project called BEDMOND which aims at the development of an ICT-based system for the early detection of Alzheimer's disease (AD) and other neurodegenerative diseases on the basis of data assessment with health professional criteria. BEDMOND project addresses a system that supports the decision making process for the doctor, automating the information process related, first, to the recognition and modelling of the daily activity performed by the elder while being at home and, then, to the interpretation of deviations and behavioural changes detected. The system is a future-market extension for current tele-assistance technology and service enhanced with smart-home environment. BEDMOND considers that daily activity under two main scopes: first through the elder's daily routine -considered as a sequence of activities of daily living (ADL) - and then concretely through some specific behaviours highly concerned with mild cognitive impairment (MCI) typical symptoms (oversights and forgetfulness -medication intake, appointments, etc.-, disorientation -spatial and temporal-, loss of interest and isolation, etc.). First the requirements of such a behaviour pattern based assistant are discussed, then the system architecture deployed is introduced; next step deepens into the applied reasoning layers for the situation recognition, interpretation and data representation layers. Finally, next steps and some conclusions are also depicted.en
dc.description.statusPeer reviewed
dc.format.extent8
dc.identifier.citationMartínez , A , Etxeberria , I , Aldaz , E , Roedl , L , Hochgatterer , A , Wöckl , B & Bund , J 2011 , Supporting diagnostic decision for early detection of a neurodegenerative disease on a behavioural altered pattern basis . in Proceedings of the IADIS International Conference e-Health 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 . Proceedings of the IADIS International Conference e-Health 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 , pp. 81-88 , IADIS International Conference e-Health 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 , Rome , Italy , 20/07/11 .
dc.identifier.citationconference
dc.identifier.isbn9789728939496
dc.identifier.urihttps://hdl.handle.net/11556/2106
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=84865090448&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofProceedings of the IADIS International Conference e-Health 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
dc.relation.ispartofseriesProceedings of the IADIS International Conference e-Health 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsBehaviour pattern
dc.subject.keywordsCognitive decline
dc.subject.keywordsEarly detection
dc.subject.keywordsComputer Science (miscellaneous)
dc.subject.keywordsInformation Systems
dc.titleSupporting diagnostic decision for early detection of a neurodegenerative disease on a behavioural altered pattern basisen
dc.typeconference output
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