Research on Denoising Algorithm for ECG Signals
会议名称：《第二十九届中国控制会议》
会议日期：2010年
学科分类：11[军事学] 0810[工学-信息与通信工程] 1105[军事学-军队指挥学] 08[工学] 081002[工学-信号与信息处理] 110503[军事学-军事通信学]
基 金：supported by the Scientific Research Foundation of the Higher Education Institutions of Education Bureau of Liaoning Province,China(Grant No.20060432) the Program for the Innovative Research Team of Education Bureau of Liaoning Province,China(Grant No.2008T091)
关 键 词：ECG Signals Median Filtering Wavelet Transformation Denoising Algorithm
摘 要：In the course of collecting ECG signal data,electromyography interference,baseline drift and 50Hz power line interference will be introduced inevitably,which often makes it difficult to identify the characteristics of ECG signals to some degree by using conventional identification *** filter,a nonlinear signal filter with simple operation and high speed,is used to remove the low-frequencies noises in Electrocardiogram signals,such as baseline *** the dyadic wavelet of WTS is a set of band-pass filters having different frequency bands in every scale,the wavelet transformation was selected to decompose the original *** interference-eliminated ECG signal was formed by reconstruction from the changed coefficients of wavelet.A simulation experiment is adopted to make it sure how to determine the self-adaptive threshold selections,the proper decomposition order and wavelet *** method was tested by using both ECG signals from MIT/BIH database and ECG signals generated via computer *** results show that the algorithm can suppress the main noises existing in ECG signals efficiently and can satisfy the requirements of clinical analysis and diagnosis on ECG waveforms.