Research on R-wave recognition method for ECG signal in the optimized firing process

R wave, as an important reference for determining each band of ECG signal, is the premise of ECG automatic analysis. In view of the problem that the preprocessing process of most R-wave recognition algorithms affects the recognition accuracy, a new R-wave recognition method based on the combination of wavelet transform and adaptive threshold method is proposed, which improves the stability and accuracy of R-wave recognition. Firstly, the ECG signal is decomposed based on wavelet, and the 2
³
rd layer wavelet signal is obtained. Then the sliding window width and initial threshold are set. The threshold is adjusted according to the signal situation and the window width is increased to quickly identify the
$R$
wave. Finally, the simulation results show that the algorithm is effective in R-wave recognition of heart rate variability ECG signal during shooting.