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Title:
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Emerging technologies for monitoring behavioural and psychological symptoms of dementia
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Author:
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Qassem, Tarek; Tadros, George; Moore, Philip R.; Xhafa Xhafa, Fatos
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Ciències de la Computació |
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Abstract:
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(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
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Abstract:
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Behavioural and psychological symptoms of dementia (BPSD) are complex array of symptoms that have devastating impact on patients, carers and their loved ones. In this paper we argue that with the combined use of pervasive computing and big data, we could make significant progress in the diagnosis of the causes of BPSD, monitoring response to treatment and helping in the prevention of these symptoms. We review the available technologies, such as Cloud computing and context aware systems, and how they could help in managing and hopefully preventing the Behavioural and Psychological Symptoms of Dementia. |
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Abstract:
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Peer Reviewed |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica
-Dementia
-Data mining
-Big data
-Alzheimer's disease
-BPSD
-dementia
-neuropsychiatric symptoms
-big data
-data mining
-machine learning
-pervasive computing
-ubiquitous computing
-wearable computing
-Demència
-Mineria de dades
-Macrodades |
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Rights:
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Document type:
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Article - Submitted version
Conference Object |
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Published by:
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Institute of Electrical and Electronics Engineers (IEEE)
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