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Biosensors toward behavior detection in diagnosis of alzheimer’s disease

In recent years, a huge number of individuals all over the world, elderly people, in particular, have been suffering from Alzheimer’s disease (AD), which has had a significant negative impact on their quality of life. To intervene early in the progression of the disease, accurate, convenient, and lo...

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Autores principales: Sun, Xiaotong, Sun, Xu, Wang, Qingfeng, Wang, Xiang, Feng, Luying, Yang, Yifan, Jing, Ying, Yang, Canjun, Zhang, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626796/
https://www.ncbi.nlm.nih.gov/pubmed/36338126
http://dx.doi.org/10.3389/fbioe.2022.1031833
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author Sun, Xiaotong
Sun, Xu
Wang, Qingfeng
Wang, Xiang
Feng, Luying
Yang, Yifan
Jing, Ying
Yang, Canjun
Zhang, Sheng
author_facet Sun, Xiaotong
Sun, Xu
Wang, Qingfeng
Wang, Xiang
Feng, Luying
Yang, Yifan
Jing, Ying
Yang, Canjun
Zhang, Sheng
author_sort Sun, Xiaotong
collection PubMed
description In recent years, a huge number of individuals all over the world, elderly people, in particular, have been suffering from Alzheimer’s disease (AD), which has had a significant negative impact on their quality of life. To intervene early in the progression of the disease, accurate, convenient, and low-cost detection technologies are gaining increased attention. As a result of their multiple merits in the detection and assessment of AD, biosensors are being frequently utilized in this field. Behavioral detection is a prospective way to diagnose AD at an early stage, which is a more objective and quantitative approach than conventional neuropsychological scales. Furthermore, it provides a safer and more comfortable environment than those invasive methods (such as blood and cerebrospinal fluid tests) and is more economical than neuroimaging tests. Behavior detection is gaining increasing attention in AD diagnosis. In this review, cutting-edge biosensor-based devices for AD diagnosis together with their measurement parameters and diagnostic effectiveness have been discussed in four application subtopics: body movement behavior detection, eye movement behavior detection, speech behavior detection, and multi-behavior detection. Finally, the characteristics of behavior detection sensors in various application scenarios are summarized and the prospects of their application in AD diagnostics are presented as well.
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spelling pubmed-96267962022-11-03 Biosensors toward behavior detection in diagnosis of alzheimer’s disease Sun, Xiaotong Sun, Xu Wang, Qingfeng Wang, Xiang Feng, Luying Yang, Yifan Jing, Ying Yang, Canjun Zhang, Sheng Front Bioeng Biotechnol Bioengineering and Biotechnology In recent years, a huge number of individuals all over the world, elderly people, in particular, have been suffering from Alzheimer’s disease (AD), which has had a significant negative impact on their quality of life. To intervene early in the progression of the disease, accurate, convenient, and low-cost detection technologies are gaining increased attention. As a result of their multiple merits in the detection and assessment of AD, biosensors are being frequently utilized in this field. Behavioral detection is a prospective way to diagnose AD at an early stage, which is a more objective and quantitative approach than conventional neuropsychological scales. Furthermore, it provides a safer and more comfortable environment than those invasive methods (such as blood and cerebrospinal fluid tests) and is more economical than neuroimaging tests. Behavior detection is gaining increasing attention in AD diagnosis. In this review, cutting-edge biosensor-based devices for AD diagnosis together with their measurement parameters and diagnostic effectiveness have been discussed in four application subtopics: body movement behavior detection, eye movement behavior detection, speech behavior detection, and multi-behavior detection. Finally, the characteristics of behavior detection sensors in various application scenarios are summarized and the prospects of their application in AD diagnostics are presented as well. Frontiers Media S.A. 2022-10-19 /pmc/articles/PMC9626796/ /pubmed/36338126 http://dx.doi.org/10.3389/fbioe.2022.1031833 Text en Copyright © 2022 Sun, Sun, Wang, Wang, Feng, Yang, Jing, Yang and Zhang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Sun, Xiaotong
Sun, Xu
Wang, Qingfeng
Wang, Xiang
Feng, Luying
Yang, Yifan
Jing, Ying
Yang, Canjun
Zhang, Sheng
Biosensors toward behavior detection in diagnosis of alzheimer’s disease
title Biosensors toward behavior detection in diagnosis of alzheimer’s disease
title_full Biosensors toward behavior detection in diagnosis of alzheimer’s disease
title_fullStr Biosensors toward behavior detection in diagnosis of alzheimer’s disease
title_full_unstemmed Biosensors toward behavior detection in diagnosis of alzheimer’s disease
title_short Biosensors toward behavior detection in diagnosis of alzheimer’s disease
title_sort biosensors toward behavior detection in diagnosis of alzheimer’s disease
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9626796/
https://www.ncbi.nlm.nih.gov/pubmed/36338126
http://dx.doi.org/10.3389/fbioe.2022.1031833
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