Multi-wavelet fusion feature based neuron action feature extraction method

The invention relates to a multi-wavelet fusion feature based neuron action feature extraction method. The method comprises the following steps of: denoising an original action potential signal by using fast wavelet transformation to acquire a denoising action potential signal; performing multi-wavelet base analysis on the denoising signal to acquire a plurality of groups of wavelet time frequency features; respectively fusing the wavelet features with different sizes to acquire a multi-wavelet feature of action potential; and respectively fusing a low-frequency component and a high-frequency component of the signal through the multi-wavelet fusion feature according to features of different wavelet bases to acquire a group of new time frequency features. By adopting the method, mutation and phase step features of the signal are kept, so that the high-frequency component and the low-frequency component of the signal are restored to a certain extent; meanwhile, information and position of a phase step or mutation point of the signal are kept unchanged.