中文说明：在心电信号的分析中，最为首要而且关键的问题就是QRS波群的检测。可靠的QRS波群检测，不仅是诊断心律失常的重要依据，而且是计算心率、每分钟心输出量等心功能参数的重要依据。 完成了基于小波变换的QRS特征提取算法研究与实现。首先基于小波变换算法对心电信号进行了波形预处理，滤除了心电信号中的肌电干扰和工频干扰噪声；接着，基于小波变换算法的思想，利用MATLAB仿真工具软件对心电信号中的QRS波段的特征点的识别算法进行了仿真研究。 实验仿真结果表明：小波变换算法通过心电信号在不同尺度小波变换上的分布和小波系数两方面的信息对心电信号进行分析，使得心电信号特征点识别的准确率得到进一步提高
English Description：
In the analysis of ECG, the most important and key problem is the detection of QRS complex. Reliable QRS complex detection is not only an important basis for the diagnosis of arrhythmia, but also an important basis for calculating heart rate, cardiac output per minute and other cardiac function parameters. &Nbsp completed the research and implementation of QRS feature extraction algorithm based on wavelet transform. Firstly, the ECG signal is preprocessed based on wavelet transform algorithm, and the EMG interference and power frequency interference noise in ECG signal are filtered. Secondly, the recognition algorithm of QRS band feature points in ECG signal is simulated based on the idea of wavelet transform algorithm and MATLAB simulation software. &The simulation results show that the accuracy of ECG feature point recognition is further improved by analyzing the distribution of ECG signal on different scales and wavelet coefficients