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Denoising of ECG Signal with Power Line and EMG Interference Based on Ensemble Empirical Mode Decomposition

  • Shing-Hong Liu
  • Li-Te Hsu
  • Cheng-Hsiung Hsieh
  • Yung-Fa Huang
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 110)

Abstract

In this paper, the mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) were used are used to perform a noise cancellation process on electrocardiogram (ECG) signal coupling the power line (PLn) and electromyogram (EMG) interference. The ECG signal with noise was decomposed by the EMD or EEMD method. A series of intrinsic mode functions (IMF) were decomposed out. This was followed by the grey noise estimation method, which is used to perform noise estimation on the high-order IMF component. Then, determine whether the signal-to-noise ratio (SNR) of each IMF component was lower than the threshold values defined. These IMF components with lower SNR were removed, following which the ECG signal with the denosing process was obtained through reconstruction process. The performance evaluation on the noise cancellation method proposed was to use the ECG signals in the MIT-BIH cardiac arrhythmia database by adding the PLn and EMG noise to perform the processing. The results indicate that the EEMD method doing the noise cancellation had a better performance than EMD method.

Keywords

ECG noise cancellation Ensemble empirical mode decomposition Grey system 

Notes

Acknowledgment

This research is sponsored by the project of Ministry of Science and Technology (MOST106-2221-E-324-011).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Shing-Hong Liu
    • 1
  • Li-Te Hsu
    • 1
  • Cheng-Hsiung Hsieh
    • 1
  • Yung-Fa Huang
    • 2
  1. 1.Department of Computer Science and Information EngineeringChaoyang University of TechnologyTaichungTaiwan, ROC
  2. 2.Department of Information and Communication EngineeringChaoyang University of TechnologyTaichungTaiwan, ROC

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