English

Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient

Machine Learning 2019-12-02 v1 Machine Learning Signal Processing Applications

Abstract

Epilepsy is an important public health issue. An appropriate epileptiform discharge pattern detection of this neurological disease is a typical problem in biomedical engineering. In this paper, a new method is proposed for spike-and-wave discharge pattern detection based on Kendall's Tau-b coefficient. The proposed approach is demonstrated on a real dataset containing spike-and-wave discharge signals, where our performance is evaluated in terms of high Specificity, rule in (SpPIn) with 94% for patient-specific spike-and-wave discharge detection and 83% for a general spike-and-wave discharge detection.

Cite

@article{arxiv.1911.13018,
  title  = {Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient},
  author = {Antonio Quintero-Rincón and Catalina Carenzo and Joaquín Ems and Lourdes Hirschson and Valeria Muro and Carlos D'Giano},
  journal= {arXiv preprint arXiv:1911.13018},
  year   = {2019}
}

Comments

8 pages, 3 figures. RESEARCH LETTERS/SHORT REPORTS

R2 v1 2026-06-23T12:30:48.987Z