Tracé alternant detector for grading hypoxic-ischemic encephalopathy in neonatal EEG

no code implementations • 31 May 2021 • Sumit A. Raurale, Geraldine B. Boylan, Sean R. Mathieson, William P. Marnane, Gordon Lightbody, John M. O'Toole

These results validate how detecting the presence or absence of TA can be used to quantify the grade of HIE injury in neonatal EEG and open up the possibility of a clinically-meaningful grading system.

EEG

Grading the severity of hypoxic-ischemic encephalopathy in newborn EEG using a convolutional neural network

no code implementations • 12 May 2020 • Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, John M. O'Toole

Electroencephalography (EEG) is a valuable clinical tool for grading injury caused by lack of blood and oxygen to the brain during birth.

EEG

Identifying trace alternant activity in neonatal EEG using an inter-burst detection approach

no code implementations • 12 May 2020 • Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody, John M. O'Toole

This study presents a novel approach for detecting TA activity by first detecting the inter-bursts and then processing the temporal map of the bursts and inter-bursts.

EEG

Suitability of an inter-burst detection method for grading hypoxic-ischemic encephalopathy in newborn EEG

no code implementations • 5 Jul 2019 • Sumit A. Raurale, Saif Nalband, Geraldine B. Boylan, Gordon Lightbody, John M. O'Toole

Electroencephalography (EEG) is an important clinical tool for grading injury caused by lack of oxygen or blood to the brain during birth.

EEG