EEG signal quality automatic detection method

The invention discloses an EEG (electroencephalogram) signal quality automatic detection method, which solves the problem that the sleep analysis result is influenced due to the fact that the EEG signal obtained in the prior art has a poor-quality part, and comprises the following steps: S1, carrying out noise reduction processing on a to-be-detected whole-night EEG signal; s2, dividing the processed whole night EEG signal into n parts according to the time length t seconds; s3, calculating the total energy ss and the amplitude A of the EEG signal per t seconds; s4, performing quality evaluation on the signals in every t seconds according to a calculation result, and classifying the EEG signals with poor quality; and S5, calculating a signal score, and judging the quality of the whole night EEG signal. The quality condition of the signal can be known in advance, an analysis strategy can be formulated, and the sleep condition analysis efficiency is improved. 本发明公开了一种EEG信号质量自动检测方法，克服了现有技术中得到的EEG信号存在质量不佳的部分、影响睡眠