Classification method of electroencephalogram signal
A signal classification and electroencephalogram technology, applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as distortion, increase in the number of riding waves, and lack of local characteristics, so as to reduce distortion, save time and effect of space
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[0064] The preferred embodiments of the present invention will be specifically described below in conjunction with the accompanying drawings.
[0065] In this embodiment, firstly, the input EEG signal is subjected to empirical mode decomposition, and the EEG signal is decomposed into the sum of some eigenmode functions, and then for each eigenmode function, the amplitude modulation is extracted by the empirical AM-FM decomposition method. Bandwidth and FM bandwidth, and used as the input of the support vector machine to classify the EEG signal.
[0066] ideally attenuates chirp signals x ( t ) = 2 ( α / π ) 1 / 4 exp ( - αt 2 / 2...
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