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

Journal Title: Applied Medical Informatics - Year 2019, Vol 41, Issue 1

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.

Authors and Affiliations

Antonio QUINTERO-RINCÓN, Catalina CARENZO, Joaquín EMS, Lourdes HIRSCHSON, Valeria MURO, Carlos D´GIANO

Keywords

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  • EP ID EP655027
  • DOI -
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How To Cite

Antonio QUINTERO-RINCÓN, Catalina CARENZO, Joaquín EMS, Lourdes HIRSCHSON, Valeria MURO, Carlos D´GIANO (2019). Spike-and-wave epileptiform discharge pattern detection based on Kendall's Tau-b coefficient. Applied Medical Informatics, 41(1), 1-8. https://europub.co.uk/articles/-A-655027