基于小波双阈值滤波算法的膈肌肌电信号去噪方法
Denoising of diaphragmatic electromyogram signals using dual-threshold filtering algorithm
李双妙 1李志为 1张涵 1张建恒2
作者信息
- 1. 华南师范大学电子与信息工程学院,广东广州 510631
- 2. 广州医科大学附属第一医院呼吸内科,广东广州 520120
- 折叠
摘要
针对传统去心电信号(ECG)干扰算法处理异常ECG信号效果欠佳的问题,提出一种基于小波双阈值滤波算法的膈肌肌电(EMGdi)信号降噪方法.该方法以小波系数为基础,构造QRS群波中R峰的检测阈值,进而准确定位R峰位置.在此基础上,采用干扰区间两侧小波平均能量作为干扰区间阈值计算依据,对干扰区间进行平滑处理.通过临床EMGdi信号去ECG干扰实验,结果表明本文方法在去干扰性能上优于传统算法,尤其针对弱EMGdi信号去干扰优势更加明显.
Abstract
Given that the traditional algorithms for elimination of electrocardiogram(ECG)contamination have a poor performance on abnormal ECG signals,a denoising algorithm for diaphragmatic electromyogram(EMGdi)signals based on wavelet dual-threshold filtering is presented.The method constructs the detection threshold of R peak in QRS group wave based on wavelet coefficient for accurately locating the position of the R peak,and takes the average energy on both sides of one interference range as the threshold of this interference range for eliminating ECG contamination.Experimental results of eliminating ECG contamination from clinical EMGdi signals show that the proposed algorithm surpasses the traditional algorithms in interference removal,especially for weak EMGdi signals.
关键词
膈肌肌电/心电干扰/小波系数/双阈值滤波Key words
diaphragmatic electromyogram/electrocardiogram contamination/wavelet coefficient/dual-threshold filtering引用本文复制引用
基金项目
广东省自然科学基金(2019A1515011940)
教育部蓝火计划(惠州)产学研专项(CXZJHZ201803)
广州市科技计划(202002030353)
广州市科技计划(2019050001)
出版年
2024
NETL
NSTL
万方数据