BECT ratchet wave detection method based on optimal template matching and morphological feature extraction

The invention provides a BECT ratchet wave detection method based on optimal template matching and morphological feature extraction. The method mainly comprises the following steps: (1) collecting an electroencephalogram (EEG) signal, and establishing a database; (2) processing the EEG signal; (3)performing universal template matching: performing template matching by using a fixed template; (4) carrying out ratchet wave clustering detection: carrying out clustering on a general template matching result by using K-means clustering, and then carrying out adaptive template matching by taking the mass center of each class as a new template; (5) performing optimal template detection: carrying out joint optimization on the amplitude and width of the general template by adopting a PSO algorithm, and searching a template most suitable for the current EEG data; and (6) performing false positive spine wave elimination: firstly eliminating a part of spine waves according to a'coniferous relative 'phenomenon of two relat