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

TL;DR

This paper introduces a novel method for detecting spike-and-wave epileptiform discharges using Kendall's Tau-b coefficient, achieving high specificity in real patient data for both patient-specific and general detection.

Contribution

The paper presents a new detection approach based on Kendall's Tau-b coefficient, improving specificity in identifying epileptiform discharges in EEG signals.

Findings

94% specificity for patient-specific detection

83% specificity for general detection

Effective on real EEG datasets

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.