ECG identity recognition method based on IWT and AGA-BP model
A technology of AGA-BP and identity recognition, which is applied in human identification, neural learning methods, biological neural network models, etc., can solve problems such as poor accuracy of ECG signal recognition, achieve the effect of improving accuracy and reducing influence
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[0087] Example
[0088] The ECG identification method based on IWT and AGA-BP model is implemented according to the following steps:
[0089] Step 1, collect the ECG signal, use the IWT algorithm to preprocess the collected ECG signal, and obtain the ECG signal after denoising; image 3 shown, specifically:
[0090] Step 1.1, obtain the original ECG data through the arrhythmia ECG database (MIT-BIH), and then use the ECG algorithm read program written by Robert Tratnig of Vorarlberg University of Applied Sciences, and borrow this program to realize the ECG sample database. Read and draw any group of sample data in, and obtain a matrix storing ECG data, which is the ECG signal to be processed;
[0091] Step 1.2: Divide the ECG signal obtained in step 1.1 according to a standard ECG cycle T to obtain n groups of periodic signal sequences X(n), and then use the recursive algorithm (RLS algorithm) of the least squares method to analyze the periodic signal sequence. X(n) is mode...
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