Emerging Technologies for Monitoring Behavioural and Psychological Symptoms of Dementia

被引：9
作者：
Qassem, Tarik [1 ]
Tadros, George [1 ]
Moore, Philip [2 ]
Xhafa, Fatos [3 ]
机构：
[1] Univ Warwick, Warwick Med Sch, Coventry, W Midlands, England
[2] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou, Peoples R China
[3] Tech Univ Catalonia, Barcelona 08034, Spain
来源：
2014 NINTH INTERNATIONAL CONFERENCE ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING (3PGCIC) | 2014年
关键词：
Dementia; Alzheimer's disease; Neuropsychiatric symptoms; BPSD; Monitoring Behavioural and Psychological Symptoms of Dementia; pervasive computing; wearable computing; ubiquitous computing; data mining; machine learning; big data; COGNITIVE IMPAIRMENT; ALZHEIMERS-DISEASE;
D O I：
10.1109/3PGCIC.2014.82
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：308 / 315
页数：8
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