• DocumentCode
    3544972
  • Title

    Steerable-focus ensemble ECG analysis

  • Author

    Ritscher, D.E. ; Hombach, V. ; Höher, M.

  • Author_Institution
    Inst. for Biomed. Eng., Ulm Univ., Germany
  • fYear
    1997
  • fDate
    7-10 Sep 1997
  • Firstpage
    423
  • Lastpage
    424
  • Abstract
    Many forms of ECG analysis are ensemble-based; for example Signal-Averaged ECG (SAECG) analysis takes the average in the time domain over an ensemble of beats. A technique was developed to permit the focusing in on an area of the beat. When an analysis of an ensemble is made, such as taking the average of the elements of the ensemble, followed by some further analysis, the first step of this process is the determination of the alignment of each of the ensemble elements. If these elements have differing propagation qualities there will be no perfect single alignment point. Then the nature of the subsequent processing will always automatically `focus´ on the area near the alignment point; areas further from the alignment point will be blurred (low-pass filtered). Examples demonstrate the visible increase in resolution resulting from this approach. Through this approach microvariations become visible that normally are lost in the analysis process
  • Keywords
    electrocardiography; medical signal processing; alignment point; blurred areas; electrodiagnostics; low-pass filtered signals; microvariations; propagation qualities; signal-averaged ECG analysis; steerable-focus ensemble ECG analysis; Assembly; Biomedical engineering; Cardiology; Degradation; Electrocardiography; Gray-scale; Low pass filters; Performance analysis; Signal analysis; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1997
  • Conference_Location
    Lund
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-4445-6
  • Type

    conf

  • DOI
    10.1109/CIC.1997.647923
  • Filename
    647923