Alertness assessment by optical stimulation-induced brainwave entrainment through machine learning classification.

Journal: Biomedical engineering online
Published Date: Aug 12, 2025

Abstract

BACKGROUND: Alertness plays a crucial role in the completion of important tasks. However, application of existing methods for evaluating alertness is limited due to issues such as high subjectivity, practice effect, susceptibility to interference, and complexity in data collection. Currently, there is an urgent need for a rapid, quantifiable, and easily implementable alertness assessment method.

Authors

  • Yong Zhou
    National Institutes for Food and Drug Control, Beijing, 100050, China.
  • Yizhou Tan
    The Department of Laser Medicine, The First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
  • Shasha Wang
    The School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China.
  • Hanshu Cai
    School of Information Science and Engineering, Lanzhou University, Lanzhou, China.
  • Ying Gu
    Department of Radiation Oncology, Jinling Hospital, Nanjing, Jiangsu, 210002, China.

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