Multiple-template matching identity recognition method based on ECG (Electrocardiogram) under electrocardiogram abnormality state
A technology of identity recognition and abnormal state, applied in the direction of character and pattern recognition, medical science, instruments, etc., can solve problems such as poor effect, achieve the effect of improving the accuracy of identity recognition, increasing reliability and precision, and reducing time complexity
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[0041] In order to make the implementation steps, effects and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0042] The present invention relates to an ECG-based multi-template matching identification method in an abnormal state of electrocardiogram, see figure 2 , the method includes:
[0043] 201: ECG signal preprocessing module;
[0044] 202: Signal decomposition and standardization module;
[0045] 203: ECG signal feature extraction module;
[0046] 204: ECG template database construction module;
[0047] 205: template matching and identity recognition module.
[0048] Among them, the ECG signal preprocessing module is used to obtain the user's original ECG data, store it in the data file, and filter the signal to eliminate noise such as power frequency interference, baseline drift, and myoelectric interference in the acquisition ...
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