Brain magnetic signal rhythm separation method based on genetic algorithm and wavelet transform
The invention relates to a brain magnetic signal rhythm separation method based on a genetic algorithm and wavelet transform. The brain magnetic signal rhythm separation method comprises the following steps: obtaining an initial brain magnetic signal and carrying out noise reduction processing to ob...
Saved in:
Main Authors | , , |
---|---|
Format | Patent |
Language | Chinese English |
Published |
15.08.2023
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | The invention relates to a brain magnetic signal rhythm separation method based on a genetic algorithm and wavelet transform. The brain magnetic signal rhythm separation method comprises the following steps: obtaining an initial brain magnetic signal and carrying out noise reduction processing to obtain a basic brain magnetic signal; performing iterative search on the coded wavelet function by using a genetic algorithm to obtain an optimal wavelet function, and determining the number of decomposition layers; and performing wavelet decomposition and wavelet coefficient reconstruction on the preprocessed brain magnetic signal by using the wavelet function and the decomposition layer number, and performing frequency detection on the reconstructed sub-signal to determine an ideal brain magnetic rhythm signal. According to the characteristic of adaptively searching the globally optimal solution according to the genetic algorithm, the wavelet function with higher information matching degree with the to-be-separated |
---|---|
Bibliography: | Application Number: CN202310641211 |