摘要
心脏病是威胁人类健康的病症之一,发病率一直居高不下。但纯净的心电信号不容易得到,心电信号中总有各种噪声。对心电信号的去噪研究逐渐成为人们研究的热点。由于传统傅里叶去噪的局限性,近年来逐渐兴起的小波分析逐渐成为人们去噪研究的重点。通过对前人工作的总结和分析,提出了一种新的阈值去噪的方法,既克服了软硬阈值函数的缺点,同时又能在它们之间进行灵活选择,并最终通过实验模拟达到了理想的去噪效果,证明该算法比传统的方法更能得到纯净的心电信号。
Heart disease is one of the diseases that threaten human health,and the incidence rate has been high.However,pure electrocardiogram signals(ECG) are not easy to obtain,and there are always various noises in the ECG signals.Denoising research on ECG signals has gradually become a hotspot in research.Due to the limitations of traditional Fourier denoising,the wavelet analysis that has gradually emerged in recent years has gradually become the focus of denoising research.By summarizing and analyzing the work of predecessors,this paper finally proposes a new method of threshold denoising,which overcomes the shortcomings of the soft and hard threshold functions,and at the same time allows flexible selection between them,and finally through experiments, the simulation achieves the desired denoising effect,which proves that the algorithm can obtain pure ECG signals more than the traditional method.
作者
焦运良
邢计元
靳尧凯
Jiao Yunliang;Xing Jiyuan;JinYaokai(National Computer System Engineering Research Institute of China,Beijing 100083,China)
出处
《信息技术与网络安全》
2019年第5期62-66,共5页
Information Technology and Network Security
关键词
小波变换
阈值去噪
心电信号
阈值改进
wavelet transform
threshold denoising
ECG signal
threshold improvement
