• DocumentCode
    1010901
  • Title

    Power-Line Interference Detection and Suppression in ECG Signal Processing

  • Author

    Lin, Yue-Der ; Hu, Yu Hen

  • Author_Institution
    Feng Chia Univ., Taichung
  • Volume
    55
  • Issue
    1
  • fYear
    2008
  • Firstpage
    354
  • Lastpage
    357
  • Abstract
    A novel power-line interference (PLI) detection and suppression algorithm is presented to preprocess the electrocardiogram (ECG) signals. A distinct feature of this proposed algorithm is its ability to detect the presence of PLI in the ECG signal before applying the PLI suppression algorithm. No PLI suppression operation will be performed if PLI is not detected. We propose a PLI detector that employs an optimal linear discriminant analysis (LDA) algorithm to make a decision for the PLI presence. An efficient recursive least-squares (RLS) adaptive notch filter is also developed to serve the purpose of PLI suppression. Experimental results demonstrate superior performance of this proposed algorithm.
  • Keywords
    adaptive filters; electrocardiography; feature extraction; interference suppression; least squares approximations; medical signal processing; notch filters; recursive filters; ECG signal processing; adaptive notch filter; electrocardiogram signals; interference suppression; linear discriminant analysis algorithm; power-line interference detection; recursive least-squares; Adaptive filters; Band pass filters; Biomedical signal processing; Electrocardiography; Frequency; Interference suppression; Linear discriminant analysis; Narrowband; Signal processing; Signal processing algorithms; Electrocardiogram (ECG); linear discriminant analysis (LDA); power-line interference (PLI); recursive least squares (RLS); Algorithms; Arrhythmias, Cardiac; Artifacts; Diagnosis, Computer-Assisted; Electricity; Electrocardiography; Humans; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2007.902234
  • Filename
    4404091