Wavelet analysis and Welch algorithm personal identification method
A technology of wavelet analysis and identification, applied in the fields of biomedical engineering and information, can solve the problems of finger injury, easy imitation and embezzlement of voiceprint recognition, etc.
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[0037] Which subject is identified by selecting the EEG signal from several subjects. Specific embodiments of the invention
[0038] Attached figure 1 , 2 , 3, 4. Can include the following methods:
[0039] 1. Train the subjects, through stimulation mode training, collect the EEG signal characteristics of the subjects in different motor imagery processes, and collect the signals of 6 electrodes that meet the 10 / 20 international standard according to 64 channels; the specific electrode positions are as follows: figure 1 shown.
[0040] 2. The collected EEG signals are preprocessed (specifically as shown above) and then input into the feature extraction system.
[0041] 3. EEG signal feature extraction system, according to figure 2 The shown process extracts the EEG signal characteristics of each subject, learns and recognizes through the BP neural network, and determines the neural network structure. image 3 The shown procedure trains a neural network.
[0042] 4. Ac...
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Abstract
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