Automated J wave detection from digital 12-lead electrocardiogram.

@article{Wang2015AutomatedJW,
  title={Automated J wave detection from digital 12-lead electrocardiogram.},
  author={Yi G. Wang and Hau-Tieng Wu and Ingrid Daubechies and Yabing Li and Elizabeth Estes and Elsayed Z Soliman},
  journal={Journal of electrocardiology},
  year={2015},
  volume={48 1},
  pages={
          21-8
        }
}
In this report we provide a method for automated detection of J wave, defined as a notch or slur in the descending slope of the terminal positive wave of the QRS complex, using signal processing and functional data analysis techniques. Two different sets of ECG tracings were selected from the EPICARE ECG core laboratory, Wake Forest School of Medicine, Winston Salem, NC. The first set was a training set comprised of 100 ECGs of which 50 ECGs had J-wave and the other 50 did not. The second set… CONTINUE READING
BETA

Topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 20 REFERENCES

Natural history of early repolarization syndrome: Coronary Artery Risk Development in Young Adults (CARDIA) study

JA Walsh, L Ilkhanoff, +3 authors H Ning
  • J Am Coll Cardiol 2013;61:863–9
  • 2013

Natural history of early repolarization syndrome: Coronary Artery Risk Development in Young Adults (CARDIA) study

JA Walsh, L Ilkhanoff, +3 authors H Ning
  • J Am Coll Cardiol 2013;61:863–9
  • 2013

Similar Papers