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

Research output: Journal PublicationReview articlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Article number1190211
JournalFrontiers in Bioengineering and Biotechnology
Volume11
DOIs
Publication statusPublished - 2023

Keywords

  • EEG signals
  • EOG signals
  • biosensors
  • diagnosis method
  • eye-tracking
  • mental diseases
  • virtual reality

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Histology
  • Biomedical Engineering

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