• DocumentCode
    797056
  • Title

    On the detection of QRS variations in the ECG

  • Author

    Shaw, G.R. ; Savard, P.

  • Author_Institution
    Inst. de Genie Biomed., Montreal Univ., Que., Canada
  • Volume
    42
  • Issue
    7
  • fYear
    1995
  • fDate
    7/1/1995 12:00:00 AM
  • Firstpage
    736
  • Lastpage
    741
  • Abstract
    Detection of subtle beat-to-beat variations in the morphology of the ECG is complicated by the effects of alignment errors and respiration. A method of directly estimating the alignment error (trigger jitter) from an ECG is derived by relating the variance to the squared slope of the averaged QRS complex. Results based on recordings obtained from 12 normal subjects and alignment performed by the cross-correlation method showed that the alignment errors were dependent upon the choice of the alignment channel, with the best distribution of the errors occurring when alignment was based on the vector magnitude of the three orthogonal leads. The estimated average alignment errors ranged from 0.33-0.42 ms, which were near the optimal value of 0.29 ms based on the sampling rate of 1000 samples/s. It was shown that the effects of respiration could be reduced by normalizing the amplitude of the QRS complexes. It was also estimated that a significant proportion of the variation (0.54-0.67) in the normalized ECG´s could be attributed to alignment errors and noise.
  • Keywords
    electrocardiography; medical signal processing; 0.29 to 0.67 ms; ECG morphology; QRS variations detection; alignment errors; cross-correlation method; noise; normal subjects; normalized ECGs; orthogonal leads; respiration effects; squared slope variance; subtle beat-to-beat variations; trigger jitter; vector magnitude; Additive noise; Councils; Electrocardiography; Hospitals; Jitter; Morphology; Sampling methods; Shape; Signal analysis; Timing; Adult; Algorithms; Electrocardiography; Female; Humans; Male; Middle Aged; Respiration; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.391174
  • Filename
    391174