Investigation Performance on Electrocardiogram Signal Processing Based on an Advanced Algorithm Combining Wavelet Packet Transform (WPT) and Hilbert-Huang Transform (HHT)*

  • Jin Bo
  • Xuewen Cao
  • Yuqing Wan
  • Yuanyu Yu
  • Pun Sio Hang
  • Peng Un Mak
  • Mang I Vai
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

The Electrocardiogram (ECG) is essential for the clinical diagnosis of cardiovascular disease. An advanced algorithm combining wavelet packet transformation (WPT) and Hilbert Huang transform (HHT) is presented for processing ECG (Electrocardiography) signal in this paper. First the WPT can resolve the ECG signal into a group of signals with narrow band. Then, the Empirical Mode Decomposition (EMD) process of Hilbert-Huang Transform (HHT) is applied on the narrow band signals. The unrelated IMFs of ECG signal are removed from result through a screening process. Finally, the Hilbert transform is employed to achieve the Hilbert spectrum and marginal spectrum. The results show the effective performance of the algorithm combining WPT and HHT in reducing ECG noise and time–frequency analysis. By comparing with the original HHT, the proposed algorithm has the better performance on ECG signal processing.

Keywords

ECG WPT EMD HHT 

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Jin Bo
    • 1
  • Xuewen Cao
    • 1
  • Yuqing Wan
    • 2
  • Yuanyu Yu
    • 1
  • Pun Sio Hang
    • 1
    • 3
  • Peng Un Mak
    • 1
  • Mang I Vai
    • 1
    • 3
  1. 1.Department of Electrical and Computer Engineering, Faculty of Science and TechnologyUniversity of MacauTaipaMacau
  2. 2.Department of Computer and Information Science, Faculty of Science and TechnologyUniversity of MacauTaipaMacau
  3. 3.State Key Laboratory of Analog and Mixed-Signal VLSIUniversity of MacauTaipaMacau

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