Biosensors toward behavior detection in diagnosis of alzheimer's disease

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

doi:10.3389/fbioe.2022.1031833

Biosensors toward behavior detection in diagnosis of alzheimer's disease

Front Bioeng Biotechnol. 2022 Oct 19:10:1031833. doi: 10.3389/fbioe.2022.1031833. eCollection 2022.

Authors

Xiaotong Sun^{1

2}, Xu Sun^{2

3}, Qingfeng Wang⁴, Xiang Wang^{1

2}, Luying Feng¹, Yifan Yang^{1

2}, Ying Jing⁵, Canjun Yang¹, Sheng Zhang^{1

2}

Affiliations

¹ Ningbo Innovation Center, School of Mechanical Engineering, Zhejiang University, Ningbo, China.
² Faculty of Science and Engineering, University of Nottingham Ningbo, Ningbo, China.
³ Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo, Ningbo, China.
⁴ Nottingham University Business School China, University of Nottingham Ningbo China, Ningbo, Zhejiang, China.
⁵ Business School, NingboTech University, Ningbo, China.

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.

Keywords: alzheimer’s disease; behavior detection; biosensors; diagnosis; elderly.

Publication types

Review