Progress on brain fatigue detection based on electroencephalogram(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2019年第11期
- Page:
- 1312-1316
- Research Field:
- 医学信号处理与医学仪器
- Publishing date:
Info
- Title:
- Progress on brain fatigue detection based on electroencephalogram
- Author(s):
- ZHAO Yanfu; SUI Li; LI Yueru
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Keywords:
- brain fatigue; electroencephalogram; wavelet entropy; human factors engineering; review
- PACS:
- R318
- DOI:
- DOI:10.3969/j.issn.1005-202X.2019.11.013
- Abstract:
- Brain fatigue refers to a series of symptoms such as headache, memory loss, and difficulty in concentration during long-term and high-intensity mental work. Electroencephalogram (EEG) which is a spontaneous and rhythmic potential activity of brain cell populations recorded by electrodes plays an increasingly important role in brain fatigue detection. Herein the development history of EEG to detect brain fatigue is summarized. Several common indicators for EEG detection of brain fatigue, including α-wave relative energy, waveform combination parameters such as (α+θ)/β and 5 wavelet entropies of Shannon, second- and third-order Renyi, Tsallis and Generalized eScort-Tsallis are introduced. The applications of EEG in brain fatigue recognition and human factors engineering are also reviewed. Finally, the limitations of EEG in detecting brain fatigue and its future development trends are discussed.
Last Update: 2019-11-28