Computation of QRS vector of ECG signal for observation of it's clinical significance

  • Authors:

  • S. Mitra;M. Mitra;B. B. Chaudhuri

  • Affiliations:

  • Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India;Department of Applied Physics, Faculty of Technology, University of Calcutta, Kolkata, India;Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

  • Venue:
  • PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
  • Year:
  • 2007

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Abstract

An automated approach for computation of the frontal plane QRS vector and an important observation of its clinical significance is described in this paper. Frontal plane QRS vector is computed from the six frontal plane leads (Standard leads I, II, III, AVR, AVL and AVF). The R-R interval of each ECG wave is detected by square derivative technique. The baseline or isoelectric level of every ECG wave is determined. After that the net positive or net negative deflection (NQD) of QRS complex is detected. Net positive or net negative deflection in any lead is obtained by subtracting the smaller deflection (+ve or -ve) from the larger deflection (-ve or +ve). An algorithm is developed for computation of the exact angle, amplitude and direction of the frontal plane QRS vector from maximum and minimum NQD. In the present work, the PTB diagnostic ECG database of normal and Myocardial Infarction (MI) subjects is used for computation of the QRS vector. An interesting clinical observation that, the rotation of QRS axis for MI data may significantly detect the region of the infarcted cardiac wall, is reported in this paper.