| Literature DB >> 33353076 |
Juan Manuel Fernández Montenegro1, Barbara Villarini2, Anastassia Angelopoulou2, Epaminondas Kapetanios2, Jose Garcia-Rodriguez3, Vasileios Argyriou1.
Abstract
Dementia is a syndrome that is characterised by the decline of different cognitive abilities. A high rate of deaths and high cost for detection, treatments, and patients care count amongst its consequences. Although there is no cure for dementia, a timely diagnosis helps in obtaining necessary support, appropriate medication, and maintenance, as far as possible, of engagement in intellectual, social, and physical activities. The early detection of Alzheimer Disease (AD) is considered to be of high importance for improving the quality of life of patients and their families. In particular, Virtual Reality (VR) is an expanding tool that can be used in order to assess cognitive abilities while navigating through a Virtual Environment (VE). The paper summarises common AD screening and diagnosis techniques focusing on the latest approaches that are based on Virtual Environments, behaviour analysis, and emotions recognition, aiming to provide more reliable and non-invasive diagnostics at home or in a clinical environment. Furthermore, different AD diagnosis evaluation methods and metrics are presented and discussed together with an overview of the different datasets.Entities:
Keywords: Alzheimer Screening; Virtual Environments; behaviour analysis; cognitive tests; dementia
Mesh:
Year: 2020 PMID: 33353076 PMCID: PMC7766748 DOI: 10.3390/s20247292
Source DB: PubMed Journal: Sensors (Basel) ISSN: 1424-8220 Impact factor: 3.576