Current development of biosensing technologies towards diagnosis of mental diseases

Yuhan Zheng; Chen Liu; Nai Yeen Gavin Lai; Qingfeng Wang; Qinghua Xia; Xu Sun; Sheng Zhang

doi:10.3389/fbioe.2023.1190211

Current development of biosensing technologies towards diagnosis of mental diseases

Front Bioeng Biotechnol. 2023 Jun 29:11:1190211. doi: 10.3389/fbioe.2023.1190211. eCollection 2023.

Authors

Yuhan Zheng^{1

2

3}, Chen Liu^{1

2}, Nai Yeen Gavin Lai¹, Qingfeng Wang⁴, Qinghua Xia², Xu Sun^{1

4}, Sheng Zhang^{1

2

5}

Affiliations

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

Abstract

The biosensor is an instrument that converts the concentration of biomarkers into electrical signals for detection. Biosensing technology is non-invasive, lightweight, automated, and biocompatible in nature. These features have significantly advanced medical diagnosis, particularly in the diagnosis of mental disorder in recent years. The traditional method of diagnosing mental disorders is time-intensive, expensive, and subject to individual interpretation. It involves a combination of the clinical experience by the psychiatrist and the physical symptoms and self-reported scales provided by the patient. Biosensors on the other hand can objectively and continually detect disease states by monitoring abnormal data in biomarkers. Hence, this paper reviews the application of biosensors in the detection of mental diseases, and the diagnostic methods are divided into five sub-themes of biosensors based on vision, EEG signal, EOG signal, and multi-signal. A prospective application in clinical diagnosis is also discussed.

Keywords: EEG signals; EOG signals; biosensors; diagnosis method; eye-tracking; mental diseases; virtual reality.

Publication types

Review

Grants and funding

This review was supported by 2025 Key Technological Innovation Program of Ningbo City under Grant (No. 2022Z080), Ningbo Scientific and Technological Innovation 2025 Major Project (No. 2021Z108), and Yongjiang Talent Introduction Programme (No. 2021A-154-G).