Journal article

Automatic detection of generalized paroxysmal fast activity in interictal EEG using time-frequency analysis

Amir Omidvarnia, Aaron EL Warren, Linda J Dalic, Mangor Pedersen, Graeme Jackson

COMPUTERS IN BIOLOGY AND MEDICINE | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2021

Abstract

OBJECTIVE: Markup of generalized interictal epileptiform discharges (IEDs) on EEG is an important step in the diagnosis and characterization of epilepsy. However, manual EEG markup is a time-consuming, subjective, and the specialized task where the human reviewer needs to visually inspect a large amount of data to facilitate accurate clinical decisions. In this study, we aimed to develop a framework for automated detection of generalized paroxysmal fast activity (GPFA), a generalized IED seen in scalp EEG recordings of patients with the severe epilepsy of Lennox-Gastaut syndrome (LGS). METHODS: We studied 13 children with LGS who had GPFA events in their interictal EEG recordings. Time-frequ..

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Grants

Awarded by European Commission


Awarded by National Health and Medical Research Council (NHMRC) of Australia


Awarded by NHMRC practitioner fellowship


Funding Acknowledgements

A.O. acknowledges financial support through the Eurotech Postdoc Programme, cofunded by the European Commission under its framework programme Horizon 2020 (Grant Agreement number 754462) . This work was supported by the National Health and Medical Research Council (NHMRC) of Australia (program grant 628952) . G.J. wassupported by an NHMRC practitioner fellowship (1060312) . A.E.L.W was supported by a postdoctoral research fellowship from the LennoxGastaut syndrome Foundation ( www.lgsfoundation.org) . The Florey Institute of Neuroscience and Mental Health acknowledges the strong support from the Victorian Government and in particular the funding from the Operational Infrastructure Support Grant. The authors acknowledge the facilities, and the scientific and technical assistance of the National Imaging Facility at the Florey Node. We thank Dr. Magdalena Kowalczyc, Dr. John Archer and Dr. Simon Harvey for assistance with patient recruitment, EEGfMRI data acquisition and useful discussion.