为了有效地滤除心电信号的50Hz工频干扰,设计一种基于NiosⅡ的自适应滤波器。利用QuartusII8.0开发工具进行硬件系统的开发;利用NiosⅡ作为运算器来实现自适应滤波器算法;采用了自定义浮点指令的方法,提高滤波速度。测试了基于NiosⅡ/e、NiosII/s和NiosⅡ/f三种CPU的自适应滤波器性能,测试结果表明,三种自适应滤波器滤波效果良好,执行速度比用软件实现的要都快10倍以上。 In order to effectively filter the 50Hz power frequency interference of ECG signals, an adaptive filter based on Nios II is designed. Use QuartusII8.0 development tools to develop the hardware system; use Nios Ⅱ as the arithmetic unit to realize the adaptive filter algorithm; and adopt the method of custom floating-point instructions to improve the filtering speed. The performance of adaptive filters based on NiosⅡ / e, NiosII / s and NiosⅡ / f CPUs was tested. The test results show that the three adaptive filters have good filtering performance and ten times faster execution speed than those implemented by software the above.