activity
20192021
most citedEMG wrist-hand motion recognition system for real-time Embedded platform

31 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2021

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

Sumit A. Raurale, Geraldine B. Boylan, Sean R. Mathieson +3

Electroencephalography (EEG) is an important clinical tool to capture sleep-wake cycling. It can also be used for grading injury, known as hypoxic-ischaemic encephalopathy(HIE), ca…

eess.SP2020

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

Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody +1

Electroencephalography (EEG) is a valuable clinical tool for grading injury caused by lack of blood and oxygen to the brain during birth. This study presents a novel end-to-end arc…

eess.SP2020

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

Sumit A. Raurale, Geraldine B. Boylan, Gordon Lightbody +1

Electroencephalography (EEG) is an important clinical tool for reviewing sleep-wake cycling in neonates in intensive care. Trace alternant (TA)-a characteristic pattern of EEG acti…

eess.SP2019

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

Sumit A. Raurale, Saif Nalband, Geraldine B. Boylan +2

Electroencephalography (EEG) is an important clinical tool for grading injury caused by lack of oxygen or blood to the brain during birth. Characteristics of low-voltage waveforms,…

eess.SP201931 cited

EMG wrist-hand motion recognition system for real-time Embedded platform

Sumit Raurale, John McAllister, Jesus Martinez del Rincon

Electromyography (EMG) signal analysis is a popular method for controlling prosthetic and gesture control equipment. For portable systems, such as prosthetic limbs, real-time low-p…