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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Bioengineering and Biotechnology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fbioe.2022.1031833/full |
| _version_ | 1811237734238388224 |
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| author | Xiaotong Sun Xiaotong Sun Xu Sun Xu Sun Qingfeng Wang Xiang Wang Xiang Wang Luying Feng Yifan Yang Yifan Yang Ying Jing Canjun Yang Sheng Zhang Sheng Zhang |
| author_facet | Xiaotong Sun Xiaotong Sun Xu Sun Xu Sun Qingfeng Wang Xiang Wang Xiang Wang Luying Feng Yifan Yang Yifan Yang Ying Jing Canjun Yang Sheng Zhang Sheng Zhang |
| author_sort | Xiaotong Sun |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T12:29:27Z |
| format | Article |
| id | doaj.art-2c514d8c51574fd9ba398bbb51b2a906 |
| institution | Directory Open Access Journal |
| issn | 2296-4185 |
| language | English |
| last_indexed | 2024-04-12T12:29:27Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Bioengineering and Biotechnology |
| spelling | doaj.art-2c514d8c51574fd9ba398bbb51b2a9062022-12-22T03:33:04ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852022-10-011010.3389/fbioe.2022.10318331031833Biosensors toward behavior detection in diagnosis of alzheimer’s diseaseXiaotong Sun0Xiaotong Sun1Xu Sun2Xu Sun3Qingfeng Wang4Xiang Wang5Xiang Wang6Luying Feng7Yifan Yang8Yifan Yang9Ying Jing10Canjun Yang11Sheng Zhang12Sheng Zhang13Ningbo Innovation Center, School of Mechanical Engineering, Zhejiang University, Ningbo, ChinaFaculty of Science and Engineering, University of Nottingham Ningbo, Ningbo, ChinaFaculty of Science and Engineering, University of Nottingham Ningbo, Ningbo, ChinaNottingham Ningbo China Beacons of Excellence Research and Innovation Institute, University of Nottingham Ningbo, Ningbo, ChinaNottingham University Business School China, University of Nottingham Ningbo China, Ningbo, Zhejiang, ChinaNingbo Innovation Center, School of Mechanical Engineering, Zhejiang University, Ningbo, ChinaFaculty of Science and Engineering, University of Nottingham Ningbo, Ningbo, ChinaNingbo Innovation Center, School of Mechanical Engineering, Zhejiang University, Ningbo, ChinaNingbo Innovation Center, School of Mechanical Engineering, Zhejiang University, Ningbo, ChinaFaculty of Science and Engineering, University of Nottingham Ningbo, Ningbo, ChinaBusiness School, NingboTech University, Ningbo, ChinaNingbo Innovation Center, School of Mechanical Engineering, Zhejiang University, Ningbo, ChinaNingbo Innovation Center, School of Mechanical Engineering, Zhejiang University, Ningbo, ChinaFaculty of Science and Engineering, University of Nottingham Ningbo, Ningbo, ChinaIn 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.https://www.frontiersin.org/articles/10.3389/fbioe.2022.1031833/fullbiosensorsalzheimer’s diseasediagnosisbehavior detectionelderly |
| spellingShingle | Xiaotong Sun Xiaotong Sun Xu Sun Xu Sun Qingfeng Wang Xiang Wang Xiang Wang Luying Feng Yifan Yang Yifan Yang Ying Jing Canjun Yang Sheng Zhang Sheng Zhang Biosensors toward behavior detection in diagnosis of alzheimer’s disease Frontiers in Bioengineering and Biotechnology biosensors alzheimer’s disease diagnosis behavior detection elderly |
| 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 | biosensors alzheimer’s disease diagnosis behavior detection elderly |
| url | https://www.frontiersin.org/articles/10.3389/fbioe.2022.1031833/full |
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