• DocumentCode
    2965767
  • Title

    Analysis of non-invasively recorded His-Purkinje signals from patients with myotonic muscular dystrophy

  • Author

    Park, H. ; Groh, W. ; Combs, W. ; Berbari, EJ

  • Author_Institution
    Indiana Univ., Indianapolis, IN, USA
  • fYear
    2002
  • fDate
    22-25 Sept. 2002
  • Firstpage
    293
  • Lastpage
    296
  • Abstract
    This study presents several new approaches to analyze the non-invasively recorded His-Purkinje system (HPS) signals from patients with myotonic muscular dystrophy. A high resolution electrocardiogram based on signal averaging to improve the signal-to-noise ratio(SNR) is a well established means to record HPS potentials. These new approaches used methods to temporally and spectrally separate the HPS potentials from the P wave potentials. These included both physiologically based and signal processing based schemes. Separating or shifting the P wave from the HPS potentials using heart rate dependent averaging and the addition of several highpass filtering methods proved somewhat, but not totally successful. In the group of patients with sequential recordings over a period of two years the progression of their muscular dystrophy may also be seen in the heart as well. This may then produce noticeable progressive trends or changes in their HPS waveforms over time. The most noticeable changes found in this study were temporal changes and morphological changes of the HPS activity of these patients over time.
  • Keywords
    electrocardiography; medical signal processing; P wave potentials; high resolution electrocardiogram; highpass filtering methods; morphological changes; myotonic muscular dystrophy; noninvasively recorded His-Purkinje system signals; physiologically based schemes; progressive trends; sequential recordings; signal averaging; signal processing based schemes; signal-to-noise ratio; temporal changes; Cardiac disease; Cardiovascular diseases; Data acquisition; Electrocardiography; Filtering; Filters; Heart rate; Image segmentation; Signal analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2002
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7735-4
  • Type

    conf

  • DOI
    10.1109/CIC.2002.1166766
  • Filename
    1166766