摘要
在心脏病诊断过程中,心电信号的检测是重要的环节,然而心电信号的噪声很强,为了能够较好地滤除信号中的噪声,对信号的特点进行准确标定,利用基于小波变换的阈值去噪算法和基于小波的模极大值-极小值的算法进行心电信号的处理。采用MIT/BIH中的数据进行仿真调试验证,实验结果表明,被引入的几种噪声能被很好地去除,而且心电信号能较完整地保留下来,特征点能被准确地检测到,从而提高了诊断心脏等疾病的诊断效率。
In the process of heart disease diagnosis, detection for ECG signal is an important aspect, but the noise of ECG signal is very strong. In order to filter noise of ECG signal effectively and demarcate characteristic points of signal accurately, the denoising algorithm of wavelet transform with threshold and algorithm of modulus maximum - minimum based on wavelet transform to process ECG signal are adopted. The data of MIT/ BIH is used to test the algorithm by simulating. The experimental results show the noise is removed effectively, while the ECG signal is reserved, and feature point can be accurately demarcated, so the efficiency of heart disease diagnoses should be enhanced.
出处
《电声技术》
2012年第10期41-44,共4页
Audio Engineering
