Method for detecting EEG (electroencephalogram) alertness based on continuous wavelet transform

The invention relates to a method for detecting the EEG (electroencephalogram) alertness based on continuous wavelet transform in the technical field of signal processing, which comprises the following steps of: obtaining characteristic values of wavelet coefficients of EEG (electroencephalogram) sequences as a characteristic set by using a wavelet function; and sorting and simplifying the characteristic set through a random forest method, training a support vector machine by using a sample, and detecting the EEG (electroencephalogram) alertness by using the support vector machine obtained by training. The method for detecting the EEG (electroencephalogram) alertness based on the continuous wavelet transform realizes the processing and the analysis of EEG (electroencephalogram) to distinguish different alertness levels of people through the continuous wavelet transform processing of the EEG (electroencephalogram), calculation and characteristic extraction based on wavelet coefficients, characteristic sorting and selection based on a random forest, and the training and the classification of the support vector machine.