Electrooculograms for human–computer interaction: A review

WD Chang - Sensors, 2019 - mdpi.com
Eye movements generate electric signals, which a user can employ to control his/her
environment and communicate with others. This paper presents a review of previous studies …

Deep learning for robust detection of interictal epileptiform discharges

D Geng, A Alkhachroum, MAM Bicchi… - Journal of neural …, 2021 - iopscience.iop.org
Objective. Automatic detection of interictal epileptiform discharges (IEDs, short as' spikes')
from an epileptic brain can help predict seizure recurrence and support the diagnosis of …

Interictal Epileptiform Discharges (IEDs) classification in EEG data of epilepsy patients

JW Puspita, G Soemarno, AI Jaya… - Journal of Physics …, 2017 - iopscience.iop.org
Abstract Interictal Epileptiform Dischargers (IEDs), which consists of spike waves and sharp
waves, in human electroencephalogram (EEG) are characteristic signatures of epilepsy …

[HTML][HTML] Development and validation of Auto-Neo-electroencephalography (EEG) to estimate brain age and predict report conclusion for electroencephalography …

X Dong, Y Kong, Y Xu, Y Zhou, X Wang… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background Electroencephalography (EEG) monitoring is widely used in neonatal intensive
care units (NICUs). However, conventional EEG report generation processes are time …

Interictal Epileptiform Discharge Classification for the Prediction of Epilepsy Type in Children

L Wei, JC Mchugh, C Mooney - Proceedings of the 2023 10th …, 2023 - dl.acm.org
Epilepsy is a neurological condition characterised by recurrent seizures. EEG is the most
important test in the evaluation of patients with epilepsy. This study presents a new …

Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals

HR Marateb, C Migliorelli, A Bachiller… - … and Analysis of …, 2020 - iopscience.iop.org
In this chapter, we discuss how intracranial or scalp electroencephalographic and
magnetoencephalographic recordings could be used for epileptic seizure prediction and …

[PDF][PDF] Identifying the Seizure Onset Zone using Intracranial EEG-fMRI

N Mohammadi - 2018 - prism.ucalgary.ca
Simultaneous EEG-fMRI has been an effective technique for identification of the seizure
onset zone (SOZ) in patients with refractory epilepsy. Recent studies have shown that using …

[PDF][PDF] 웨이블릿계수와Dynamic Positional Warping 을통한EOG 기반의사용자독립적시선인식

장원두, 임창환 - 멀티미디어학회논문지, 2018 - koreascience.kr
Writing letters or patterns on a virtual space by moving a person's gaze is called “eye
writing,” which is a promising tool for various human-computer interface applications. This …

[引用][C] EOG-based User-independent Gaze Recognition using Wavelet Coefficients and Dynamic Positional Warping

WD Chang, CH Im - Journal of Korea Multimedia Society, 2018 - Korea Multimedia Society