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  • Title: [The restraining of respiratory interference in ECG based on self-adaptive filtering].
    Author: Zhang X, Zhou Y.
    Journal: Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Feb; 28(1):58-62. PubMed ID: 21485184.
    Abstract:
    In the detecting process of electrocardiogram (ECG), there are a variety of interferences. The baseline drift is one of the interferences which are difficult to be rejected. The baseline drift could lead to recording distortion and to disturb the diagnosis. Experiments show that the respiratory signal is one of the main factors leading to the baseline drift. By restraining respiratory interference, the baseline drift could be effectively restrained. In this paper, self adaptive filtering algorithm was introduced to solve the problem. The theoretical analysis, software simulation and the signal processing of actual ECG with respiratory interference verified the feasibility of the method, the respiratory interference was eliminated and the baseline drift was restrained. The algorithm is simple, the convergence rate is fast, and the effect of restraining the baseline drift is obvious. It was proved that the method has high theoretical and practical application value.
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