论文部分内容阅读
在心电图信号的测量中，存在很强的噪声和干扰。这些干扰噪声往往与信号的频率相重叠。在有效地保存有用信号的情况下最大限度地抑制心电信号测量中噪声，历来就是技术上的一个难点。本文探讨了应用非线性的数学形态滤波到心电图机中并取得良好的效果。相比于常规的线性滤波器，数学形态滤波器不仅抑制能力很强，其计算也十分简单，十分适合于在基于计算功能有限的微处理器的心电图机中应用。
In the measurement of ECG signals, there is a strong noise and interference. These interfering noises often overlap with the frequency of the signal. In order to effectively save the useful signal to minimize noise in ECG measurement, it has always been a technical difficulty. This article discusses the use of nonlinear mathematical morphology filter to the electrocardiogram machine and achieved good results. Compared with the conventional linear filter, the mathematical morphology filter not only has strong ability to suppress but also has very simple calculation. It is very suitable for applications in the electrocardiograph based on a microprocessor with limited computing power.