Deep learning for detection of focal epileptiform discharges from scalp EEG recordings

Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology
Marleen C Tjepkema-CloostermansM J A M van Putten

Abstract

Visual assessment of the EEG still outperforms current computer algorithms in detecting epileptiform discharges. Deep learning is a promising novel approach, being able to learn from large datasets. Here, we show pilot results of detecting epileptiform discharges using deep neural networks. We selected 50 EEGs from focal epilepsy patients. All epileptiform discharges (n = 1815) were annotated by an experienced neurophysiologist and extracted as 2 s epochs. In addition, 50 normal EEGs were divided into 2 s epochs. All epochs were divided into a training (n = 41,381) and test (n = 8775) set. We implemented several combinations of convolutional and recurrent neural networks, providing the probability for the presence of epileptiform discharges. The network with the largest area under the ROC curve (AUC) in the test set was validated on seven independent EEGs with focal epileptiform discharges and twelve normal EEGs. The final network had an AUC of 0.94 for the test set. Validation allowed detection of epileptiform discharges with 47.4% sensitivity and 98.0% specificity (FPR: 0.6/min). For the normal EEGs in the validation set, the specificity was 99.9% (FPR: 0.03/min). Deep neural networks can accurately detect epileptiform discha...Continue Reading

Citations

Aug 23, 2019·Neurology and Therapy·Aly Al-Amyn VallianiEric Karl Oermann
Feb 15, 2020·Sensors·Beanbonyka RimMin Hong
Jul 16, 2020·European Child & Adolescent Psychiatry·Ronald J SwatzynaNash N Boutros
Apr 20, 2021·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Catarina da Silva LourençoMichel J A M van Putten
May 24, 2021·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Catarina da Silva LourençoMichel J A M van Putten
May 25, 2021·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Franz FürbassChristoph Baumgartner
Jun 3, 2021·International Journal of Environmental Research and Public Health·Afshin ShoeibiUdyavara Rajendra Acharya
Nov 5, 2019·Epilepsy & Behavior : E&B·Shannon ClarkeWendyl D'Souza
Aug 21, 2021·Artificial Intelligence in Medicine·Hong HeYong Hao
Aug 15, 2021·Computer Methods and Programs in Biomedicine·Satarupa ChakrabartiPrasant Kumar Pattnaik
Jul 20, 2021·International Journal of Neural Systems·Prasanth ThangavelJustin Dauwels
Sep 16, 2021·Fortschritte der Neurologie-Psychiatrie·Christoph BaumgartnerJohannes P Koren
Nov 10, 2020··Sebastian BauerLara Sophie Costard

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