As the most obvious feature of electrocardiogram (ECG)

R wave is often used as an important basis to determine other bands of ECG. Aiming at the low recognition rate of existing algorithms

an R-wave recognition algorithm based on empirical wavelet transform and signal structure characteristics is proposed. Firstly

the empirical wavelet transform is used to adaptively segment the spectrum of ECG signal

and the appropriate wavelet filter banks are constructed in the segmentation interval to extract the tightly supported modal components. Then

the spectrum of each extracted modal component is analyzed to find out the corresponding high frequency component of R wave and analyze its structure

so as to realize the accurate positioning of R wave. The simulation results show that the sensitivity

accuracy and positive rate of the proposed algorithm for R-wave recognition of ECG signal are 99.93%

99.92% and 99.99% respectively

aand the algorithm takes only 0.68s with a good recognition effect for R-wave.