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A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment
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 suppo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766748/ https://www.ncbi.nlm.nih.gov/pubmed/33353076 http://dx.doi.org/10.3390/s20247292 |
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author | Fernández Montenegro, Juan Manuel Villarini, Barbara Angelopoulou, Anastassia Kapetanios, Epaminondas Garcia-Rodriguez, Jose Argyriou, Vasileios |
author_facet | Fernández Montenegro, Juan Manuel Villarini, Barbara Angelopoulou, Anastassia Kapetanios, Epaminondas Garcia-Rodriguez, Jose Argyriou, Vasileios |
author_sort | Fernández Montenegro, Juan Manuel |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7766748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77667482020-12-28 A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment Fernández Montenegro, Juan Manuel Villarini, Barbara Angelopoulou, Anastassia Kapetanios, Epaminondas Garcia-Rodriguez, Jose Argyriou, Vasileios Sensors (Basel) Review 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. MDPI 2020-12-18 /pmc/articles/PMC7766748/ /pubmed/33353076 http://dx.doi.org/10.3390/s20247292 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Fernández Montenegro, Juan Manuel Villarini, Barbara Angelopoulou, Anastassia Kapetanios, Epaminondas Garcia-Rodriguez, Jose Argyriou, Vasileios A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment |
title | A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment |
title_full | A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment |
title_fullStr | A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment |
title_full_unstemmed | A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment |
title_short | A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment |
title_sort | survey of alzheimer’s disease early diagnosis methods for cognitive assessment |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766748/ https://www.ncbi.nlm.nih.gov/pubmed/33353076 http://dx.doi.org/10.3390/s20247292 |
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