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

arXiv: https://arxiv.org/abs/1911.13018 · HTML: https://mlsanity.com/paper/1911.13018/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 Nov 2019.

## Built on by (most cited first, 1 of 1)

- [Hybrid Pipeline SWD Detection in Long-Term EEG Signals](https://mlsanity.com/paper/2509.19387/) (2025)

## Abstract (arXiv)

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.