A single-channel-based method for eliminating myoelectric noise in EEG signals
An EEG signal and noise elimination technology, applied in the field of biological information, can solve the problem of excessive EEG noise elimination and other problems
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[0057] In order to further quantitatively evaluate the effect of the present invention, it is illustrated that the present invention is not only applicable to single-channel EEG equipment, but also applicable to multi-channel EEG equipment, and is more effective than the previous method with multi-channel as the processing object. The present embodiment simulates N= 19 channels of EEG signals with myoelectric noise, the signal sampling frequency is 250Hz, the signal length is 10 seconds, each channel has T=2500 points, such as image 3 (a) shows the simulated 19-channel clean real EEG signal x EEG (t)=[x EEG1 (t),x EEG2 (t),...,x EEG19 (t)] T ,Such as image 3 (b) shows the mixed EEG signal x(t)=[x 1 (t),x 2 (t),...,x 19 (t)] T , where x(t)=x EEG (t)+λ·x EMG (t), where λ is used to control the strength of myoelectric noise interference, image 3 In (b), λ=1.5. By performing the steps in Example 1 for each channel, the method of the present invention obtains the fol...
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