• DocumentCode
    3078292
  • Title

    Study of the correlation dimension of ECG signals based on MIT-BIH Arrhythmia Data Base ECGs

  • Author

    Casaleggio, A. ; Morando, M. ; Pestelli, S. ; Ridella, S.

  • Author_Institution
    Nat. Res. Council, Genoa Univ., Italy
  • fYear
    1989
  • fDate
    19-22 Sep 1989
  • Firstpage
    401
  • Lastpage
    404
  • Abstract
    The correlation dimensions of random noise and electrocardiograms of both normal and sick subjects have been analyzed and compared. The noisy signal has been obtained by using the random function of a DEC VAX computer; ECG data have been obtained from the MIT-BIH Arrhythmia Data Base. It was expected that a lower dimensionality of the ECG signal would be obtained with respect to the noisy one. This hypothesis has been confirmed by the analysis. An attempt was made to evaluate differences in the dimensionality of sick and normal subjects. The complexity and time-consuming aspects of the computations made it possible to examine only four patients. Up to now, there has not been enough evidence of significant differences between sick and normal subjects, and thus it is necessary to increase the number of analyzed cases. In order to obtain a good saturation of the correlation dimension, the embedding space has been spanned from 2 to 50
  • Keywords
    computerised signal processing; electrocardiography; medical diagnostic computing; waveform analysis; DEC VAX computer; ECG signal correlation dimension; MIT-BIH Arrhythmia Data Base ECGs; embedding space; noisy signal; normal subjects; random function; random noise; sick subjects; Chaos; Councils; Delay effects; Displays; Electrocardiography; Extraterrestrial measurements; Fractals; Phase measurement; Signal analysis; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1989, Proceedings.
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-2114-1
  • Type

    conf

  • DOI
    10.1109/CIC.1989.130578
  • Filename
    130578