A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment
| Autor: | Jose Garcia-Rodriguez, Barbara Villarini, Vasileios Argyriou, Epaminondas Kapetanios, Juan Manuel Fernandez Montenegro, Anastassia Angelopoulou |
|---|---|
| Přispěvatelé: | Universidad de Alicante. Departamento de Tecnología Informática y Computación, Universidad de Alicante. Instituto Universitario de Investigación Informática, Arquitecturas Inteligentes Aplicadas (AIA) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Gerontology
cognitive tests 02 engineering and technology Review Virtual reality computer.software_genre lcsh:Chemical technology Biochemistry Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Cognition Alzheimer Screening Alzheimer Disease Cognitive tests 0202 electrical engineering electronic engineering information engineering medicine Dementia Humans lcsh:TP1-1185 Electrical and Electronic Engineering behaviour analysis Instrumentation Virtual Environments Health services research Virtual Reality medicine.disease Atomic and Molecular Physics and Optics Cognitive test Behaviour analysis Early Diagnosis Virtual machine Disease early Quality of Life 020201 artificial intelligence & image processing Alzheimer's disease Psychology computer Arquitectura y Tecnología de Computadores 030217 neurology & neurosurgery dementia |
| Zdroj: | Sensors (Basel, Switzerland) RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) Sensors, Vol 20, Iss 7292, p 7292 (2020) |
| ISSN: | 1424-8220 |
| Popis: | 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. This work has been funded by the Spanish Government PID2019-104818RB-I00 grant for the MoDeaAS project, supported with Feder funds. |
| Databáze: | OpenAIRE |
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