Abstract

Info

Title:: Removal of baseline wander from ECG signals using adaptive method based on empirical mode decomposition

Author(s):: GUO Shuyan; WANG Liming; NIU Xiaodong; ZHANG Yan; LI Jizhao; ZHAO Yue; Shanxi Key Laboratory of Signal Capturing and Processing, North University of China, Taiyuan 030051, China

Keywords:: Keywords: electrocardiogram signal; baseline wander; empirical mode decomposition; adaptive

Abstract:: Abstract: Nowadays, the algorithm for removing the baseline wander from electrocardiogram (ECG) signal is implemented by empirical mode decomposition (EMD) or improved EMD. Based on EMD, a fully adaptive baseline wander removal algorithm that is highly compatible with the physical meaning of EMD is proposed. By calculating the average heart rate period of ECG signal and comparing it with the "period" of the IMF component generated by EMD, the low-frequency IMF component that is not part of the ECG signal is separated, and then the remaining IMF components are reconstructed for obtaining the ECG signal after baseline wander removal. The proposed baseline wander removal method is qualitatively analyzed using the original ECG signal from the MIT-BIH arrhythmia database provided by the Massachusetts Institute of Technology. ECGSYN (actual ECG waveform generator) is used to generate pure ECG signal, and the known low-frequency signal is added as the baseline wander for quantitatively analyzing the proposed baseline wander removal method.