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

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.

Keywords

• Spike-and-wave discharge
• Kendall’s Tau-b coefficient
• Electroencephalography (EEG)
• Epilepsy
• high Specificity
• rule in (SpPIn)