ECG De-noising Based On Empirical Mode Decomposition
Electrocardiogram (ECG) signal is useful in diagnosing the heart condition. Good quality ECG is utilized by physicians for interpretation and identification of physiological and pathological phenomena. However, The electrocardiogram (ECG) signal may mix various kinds of noises while gathering and recording. In this paper, we propose a new ECG enhancement method based on the recently developed empirical mode decomposition (EMD). The proposed EMD-based method is able to remove noise from them under a wide range of variations for noise.. The BIH databases. The simulations show that that the proposed methods in the paper provide better performance of noise reduction than wavelet thresholding de-noising methods in aspects of remaining geometrical characteristics of ECG signal and the signal-to-noise ratio (SNR).
Guodong Tang Aina Qin
College of Information Science and Technology, Central South University,Changsha,China
国际会议
The 9th International Conference for Young Computer Scientists(第九届国际青年计算机大会)
安徽黄山
英文
903-906
2008-11-18（万方平台首次上网日期，不代表论文的发表时间）