IMR Press / JIN / Special Issues / 1624003159248

Quantitative assessment of human functional behavior based on neurophysiological signals

Submission deadline: 01 March 2022
Special Issue Editor
  • Jia Cheng, MD
    Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing, China
    Interests: Mechanical design theory and method; Biomedical engineering; Neurophysiological signals
Special Issue Information

Dear Colleagues,

Neurophysiological signals such as EEG, ECG, EMG, GSR, etc. are an important key to understand human functional behavior. Whether it is a patient in need of rehabilitation or a healthy person in need of enhanced ability, the correlation between functional behavior and objective signals can be established by means of measuring the neurophysiological electrical signals related to the event. Utilizing statistical methods or machine learning algorithm, the neurophysiological mechanism behind human functional behavior can be explored, resulting in a magnificent theoretical method and engineering technology foundation laid for evaluation, prediction, rehabilitation, and even improvement of human performance.

Assoc. Prof. Dr. Jia Cheng

Guest Editor

Keywords
Neurophysiological signals
Quantitative assessment
Machine learning
Statistical methods
Functional behavior
Manuscript Submission Information

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Published Paper (1 Paper)
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