Zhao Wenzhe, Fang Bin, Shen Yi, Wang Pu
The Ministry of Education P.R.C, Engineering Research Center of Digital Community, Beijing University of Technology, Beijing 100022, China.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2009 Feb;26(1):55-8.
In an ECG auto-analysis system, correct QRS detection is most important. For this detection there are several methods, such as derivative-based algorithms, filter-bank methods and wavelet based methods and neural network approaches, but there is no single method that is extensively used. These methods are compared and analyzed in this paper.
在心电图自动分析系统中，正确的QRS波检测最为重要。对于这种检测，有几种方法，如基于导数的算法、滤波器组方法、基于小波的方法和神经网络方法，但没有一种方法被广泛使用。本文对这些方法进行了比较和分析。
