Electroencephalogram classification detection device based on lacuna characteristics
A technology of classification detection and EEG, applied in diagnostic recording/measurement, medical science, diagnosis, etc., can solve problems such as difficult to meet the requirements of online classification, long training time, etc.
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[0038] The present invention will be further described below in conjunction with the accompanying drawings and examples, but is not limited thereto.
[0039] Example:
[0040] Such as figure 1 As shown, a kind of electroencephalogram classification and detection device based on the missing item feature comprises a multi-channel electroencephalogram amplifier 1, a data acquisition card 2, and a computer 3 connected in sequence, and a signal preprocessing module, a signal preprocessing module, and a signal preprocessing module are built in the computer 3. Segmentation module, missing item feature extraction module, Bayesian linear discriminant analysis classification module and threshold judgment module; this device first amplifies the EEG signal by the multi-channel EEG amplifier 1, and then collects the EEG signal by the data acquisition card 2 The image signal is sent to the computer 3, and finally the EEG signal is preprocessed, segmented, and missing features are calculate...
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