  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.
