R Wave Detection in ECG with Functional Coefficient Nonparametric Statistical Model
Abstract: A novel R wave detection method is presented based on functional coefficient nonparametric statistical model. Firstly, digital bandpass filter is used for denoising and filtering of Electrocardiogram (ECG) signal. Then ECG signal is fitted by using functional coefficient nonparametric statistical model and difference threshold. Finally, the derivative of fitting model is applied to detect R wave in ECG with signal processing and threshold. Compared to the old difference method for R wave detector, the nonparametric statistical regression approach is more accurate based on the derivative of each point. Clinical data are used to test the performances. The experimental results show that the proposed method for R wave detection is effective.
文章引用: 孙 敏 , 苏理云 , 李晨龙 (2013) 基于函数系数非参数统计模型的心电R波检测。 统计学与应用， 2， 127-135. doi: 10.12677/SA.2013.24019
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