Emerging Technologies for Monitoring Behavioural and Psychological Symptoms of Dementia

Author

Qassem, Tarik ; Tadros, George ; Moore, Philip ; Xhafa, Fatos

Author_Institution

Warwick Med. Sch., Univ. of Warwick, Coventry, UK

fYear

2014

fDate

8-10 Nov. 2014

Firstpage

308

Lastpage

315

Abstract

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.

Keywords

Big Data; behavioural sciences computing; cloud computing; patient monitoring; psychology; ubiquitous computing; BPSD; Big Data; behavioural and psychological symptoms of dementia; cloud computing; context aware systems; pervasive computing; response monitoring; Big data; Biomedical monitoring; Dementia; Monitoring; Pervasive computing; Psychology; Sensors; Alzheimer´s disease; BPSD; Dementia; Monitoring Behavioural and Psychological Symptoms of Dementia; Neuropsychiatric symptoms; big data; data mining; machine learning; pervasive computing; ubiquitous computing; wearable computing;

fLanguage

English

Publisher

ieee

Conference_Titel

P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2014 Ninth International Conference on

Conference_Location

Guangdong

Type

conf

DOI

10.1109/3PGCIC.2014.82

Filename

7024601