• DocumentCode
    1398016
  • Title

    Using wavelet transforms for ECG characterization. An on-line digital signal processing system

  • Author

    Sahambi, J.S. ; Tandon, S.N. ; Bhatt, R.K.P.

  • Author_Institution
    Dept. of Electr. Eng., Indian Inst. of Technol., Delhi, India
  • Volume
    16
  • Issue
    1
  • fYear
    1997
  • Firstpage
    77
  • Lastpage
    83
  • Abstract
    The rapid and objective measurement of timing intervals of the electrocardiogram (ECG) by automated systems is superior to the subjective assessment of ECG morphology. The timing interval measurements are usually made from the onset to the termination of any component of the EGG, after accurate detection of the QRS complex. This article describes a real-time system that uses wavelet transforms to overcome the limitations of other methods of detecting QRS and the onsets and offsets of P- and T-waves. Wavelet transformation is briefly discussed, and detection methods and hardware and software aspects of the system are presented, as well as experimental results.
  • Keywords
    electrocardiography; medical signal processing; wavelet transforms; ECG characterization; ECG morphology; P-waves; QRS complex detection; T-waves; automated systems; electrodiagnostics; offsets; on-line digital signal processing system; onsets; subjective assessment; timing interval measurements; wavelet transformation; Artificial intelligence; Biomedical engineering; Biomedical measurements; Databases; Electrocardiography; Filtering; Frequency; Signal processing algorithms; Timing; Wavelet transforms; Algorithms; Artifacts; Biomedical Engineering; Computer Systems; Electrocardiography; Fourier Analysis; Humans; Information Systems; Online Systems; Signal Processing, Computer-Assisted; Software;
  • fLanguage
    English
  • Journal_Title
    Engineering in Medicine and Biology Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0739-5175
  • Type

    jour

  • DOI
    10.1109/51.566158
  • Filename
    566158