• DocumentCode
    2900186
  • Title

    A New Method for Removal of Baseline Wander and Power Line Interference in ECG Signals

  • Author

    Zhao, Zhi-Dong ; Chen, Yu-quan

  • Author_Institution
    Coll. of Commun. Eng., Hangzhou Dianzi Univ.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    4342
  • Lastpage
    4347
  • Abstract
    Removal of baseline wander and power line interference in ECG signal is a classical problem. A new method is proposed to remove baseline wander and power line interference in ECG signal based on empirical mode decomposition and notch filter. Principles and characteristics of empirical mode decomposition are presented; ECG signal is decomposed into a series of intrinsic mode functions (IMFs). Then 50Hz notch filter is designed, by which the IMF of ECG signal containing 50Hz power line inference is filtered. The "clean" ECG signal is reconstructed by properly selecting IMFs. To evaluate the performance of the filter, clinic ECG signals are used. Results indicate that the baseline wander and power line interference of ECG are removed effectively by this new method
  • Keywords
    electrocardiography; interference suppression; medical signal processing; notch filters; signal reconstruction; ECG signal decomposition; ECG signal reconstruction; baseline wander removal method; empirical mode decomposition; intrinsic mode function; notch filter design; power line interference removal method; Adaptive filters; Biomedical engineering; Cutoff frequency; Cybernetics; Educational institutions; Electrocardiography; Electrodes; Finite impulse response filter; IIR filters; Interference; Interference elimination; Machine learning; Signal design; ECG Signal; Empirical Mode Decomposition; baseline wander; digital Filter; power line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.259082
  • Filename
    4028837