An effective method for identification of ECG signals before and after exercise
An ECG signal and identity recognition technology, applied in the field of biomedical information processing, can solve problems such as noise interference of ECG signals, difficulties in identifying ECG signals, unsatisfactory accuracy of ECG signal identification, etc., and achieve high The effect of accuracy
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[0033] This embodiment provides an effective method for identifying the identity of ECG signals before and after exercise. The flow chart of the method is as follows figure 1 shown, including the following steps:
[0034] 1. Collect the ECG data of 11 subjects (normal healthy people) before exercise (5-10 minutes) and after exercise (90-150 seconds), and the sampling rate is 300Hz. The ECG data (including pre-exercise and post-exercise data) of 5 subjects are used as auxiliary data sets to select the optimal features, and the ECG data of the other 6 subjects are used as experimental data sets to verify the selected features. The effectiveness of the optimal features of ;
[0035] 2. Preprocessing all the collected ECG data, specifically including: using the median filter method to process the ECG signal to remove the baseline drift, and then using the wavelet transform method to remove the power frequency interference on the median filtered ECG signal . That is, the value o...
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