[EEG Signal Analysis Methods and Their Applications]

Jingjing Zhou; Jilun Ye; Xu Zhang; Chenyang Li; Xue Tan

doi:10.3969/j.issn.1671-7104.2020.02.006

[EEG Signal Analysis Methods and Their Applications]

Zhongguo Yi Liao Qi Xie Za Zhi. 2020 Feb 8;44(2):122-126. doi: 10.3969/j.issn.1671-7104.2020.02.006.

[Article in Chinese]

Authors

Jingjing Zhou^{1

2}, Jilun Ye^{1

2

3}, Xu Zhang^{1

2

3}, Chenyang Li^{1

2}, Xue Tan^{1

2}

Affiliations

¹ Biomedical Engineering Department, School of medicine, Shenzhen University, Shenzhen, 518060.
² Shenzhen Key Lab for Biomedical Engineering, Shenzhen, 518060.
³ Guangdong Key Lab for Biomedical Measurements and Ultrasound Imaging, Shenzhen Key Lab for Biomedical Engineering, Shenzhen, 518060.

PMID: 32400984
DOI: 10.3969/j.issn.1671-7104.2020.02.006

Abstract

EEG is a weak physiological electrical signal, which has important value in clinical and laboratory research. This paper mainly introduces several common methods of EEG signal processing, including power spectrum analysis, time-frequency analysis, bispectral analysis, etc, it mainly introduces their principles and applications in EEG signal processing, and provides methods and approaches for studying EEG.

Keywords: EEG; bispectral analysis; power spectrum analysis; time-frequency analysis.

MeSH terms

Electroencephalography*
Humans
Signal Processing, Computer-Assisted*