EEG Signal Analysis Methods and Their Applications.
10.3969/j.issn.1671-7104.2020.02.006
- Author:
Jingjing ZHOU
1
;
Jilun YE
1
;
Xu ZHANG
1
;
Chenyang LI
1
;
Xue TAN
1
Author Information
1. Biomedical Engineering Department, School of medicine, Shenzhen University, Shenzhen, 518060.
- Publication Type:Journal Article
- Keywords:
EEG;
bispectral analysis;
power spectrum analysis;
time-frequency analysis
- MeSH:
Electroencephalography;
Humans;
Signal Processing, Computer-Assisted
- From:
Chinese Journal of Medical Instrumentation
2020;44(2):122-126
- CountryChina
- Language:Chinese
-
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.
