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The wavelet transform was then applied to decompose the filtered MCG signals into six levels corresponding to specific frequency bands, and energy maps of three segments further outlined and highlighted spatial features. Experimental results suggested a potential variation in the similarity coefficient of the energy maps associated with MI. 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