Biosensors toward behavior detection in diagnosis of alzheimer’s disease

Author:

Sun Xiaotong,Sun Xu,Wang Qingfeng,Wang Xiang,Feng Luying,Yang Yifan,Jing Ying,Yang Canjun,Zhang Sheng

Abstract

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.

Publisher

Frontiers Media SA

Subject

Biomedical Engineering,Histology,Bioengineering,Biotechnology

Reference123 articles.

1. Early detection system considering types of dementia by behavior sensing;Abe;Consum. Electron.,2013

2. Early detection system of senile dementia by behavior sensing;Abe,2015

3. On the early diagnosis of alzheimer's disease from multimodal signals: A survey;Alberdi;Artif. Intell. Med.,2016

4. Wireless sensor networks for healthcare: A survey;Alemdar;Comput. Netw.,2010

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