一种面向穿戴式应用的超高噪声心电信号处理方法

针对穿戴式设备实测心电信号的超高强度噪声问题，提出一种改进的心电信号消噪方法。利用小波分析进行预处理，再利用简单整系数滤波器进行进一步消噪。通过对比，本文提出的改进的心电信号消噪方法性能优于传统的小波阈值去噪法和数字滤波法，处理时间比小波阈值去噪法低33%。结果表明，基于小波分析和简单整系数滤波器相结合的消噪法，对于具有超高强度噪声的穿戴式设备实测心电信号处理效果优异，且运算成本低于传统的小波阈值法，更利于硬件实现。

A Processing Method of Super-high Noising ECG Signal for Wearable Application

To solve the problem of super-high noise in electrocardiogram （ECG） measured by wearable devices,an im-proved ECG de-noising method was presented. The wavelet analysis is used to preprocess, then simple integer coeffi-cients filter is used to do further de-noising. By being compared,the improved ECG de-noising method perform better than traditional wavelet threshold de-noising method and digital filter method, and 33% less processing time is used than wavelet threshold de-nosing method. The results show that de-noising method based on wavelet analysis and digi-tal filter perform well when the de-noising ECG is measured by wearable devices and have less operational costs, which is easier for hardware implementation.