TY - JOUR
T1 - Biosensors toward behavior detection in diagnosis of alzheimer’s disease
AU - Sun, Xiaotong
AU - Sun, Xu
AU - Wang, Qingfeng
AU - Wang, Xiang
AU - Feng, Luying
AU - Yang, Yifan
AU - Jing, Ying
AU - Yang, Canjun
AU - Zhang, Sheng
N1 - Publisher Copyright:
Copyright © 2022 Sun, Sun, Wang, Wang, Feng, Yang, Jing, Yang and Zhang.
PY - 2022/10/19
Y1 - 2022/10/19
N2 - 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.
AB - 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.
KW - alzheimer’s disease
KW - behavior detection
KW - biosensors
KW - diagnosis
KW - elderly
UR - http://www.scopus.com/inward/record.url?scp=85141161057&partnerID=8YFLogxK
U2 - 10.3389/fbioe.2022.1031833
DO - 10.3389/fbioe.2022.1031833
M3 - Review article
AN - SCOPUS:85141161057
SN - 2296-4185
VL - 10
JO - Frontiers in Bioengineering and Biotechnology
JF - Frontiers in Bioengineering and Biotechnology
M1 - 1031833
ER -