EEG-informed fMRI: a review of data analysis methods
The simultaneous acquisition of electroencephalography (EEG) with functional magnetic
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
resonance imaging (fMRI) is a very promising non-invasive technique for the study of human …
[HTML][HTML] Seizures in the neonate: A review of etiologies and outcomes
F Pisani, C Spagnoli, R Falsaperla, L Nagarajan… - Seizure, 2021 - Elsevier
Neonatal seizures occur in their majority in close temporal relation to an acute brain injury or
systemic insult, and are accordingly defined as acute symptomatic or provoked seizures …
systemic insult, and are accordingly defined as acute symptomatic or provoked seizures …
EEG-based emotion recognition using hybrid CNN and LSTM classification
B Chakravarthi, SC Ng, MR Ezilarasan… - Frontiers in …, 2022 - frontiersin.org
Emotions are a mental state that is accompanied by a distinct physiologic rhythm, as well as
physical, behavioral, and mental changes. In the latest days, physiological activity has been …
physical, behavioral, and mental changes. In the latest days, physiological activity has been …
Neonatal seizure detection using deep convolutional neural networks
Identifying a core set of features is one of the most important steps in the development of an
automated seizure detector. In most of the published studies describing features and seizure …
automated seizure detector. In most of the published studies describing features and seizure …
A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial
AM Pavel, JM Rennie, LS de Vries… - The Lancet Child & …, 2020 - thelancet.com
Background Despite the availability of continuous conventional electroencephalography
(cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice …
(cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice …
A dataset of neonatal EEG recordings with seizure annotations
Neonatal seizures are a common emergency in the neonatal intensive care unit (NICU).
There are many questions yet to be answered regarding the temporal/spatial characteristics …
There are many questions yet to be answered regarding the temporal/spatial characteristics …
Source separation from single-channel recordings by combining empirical-mode decomposition and independent component analysis
In biomedical signal processing, it is often the case that many sources are mixed into the
measured signal. The goal is usually to analyze one or several of them separately. In the …
measured signal. The goal is usually to analyze one or several of them separately. In the …
[HTML][HTML] EEG-based neonatal seizure detection with support vector machines
OBJECTIVE: The study presents a multi-channel patient-independent neonatal seizure
detection system based on the Support Vector Machine (SVM) classifier. METHODS: A …
detection system based on the Support Vector Machine (SVM) classifier. METHODS: A …
[HTML][HTML] A graph convolutional neural network for the automated detection of seizures in the neonatal EEG
Abstract Background and Objective Neonatal seizures are the most common clinical
presentation of neurological conditions and can have adverse effects on the …
presentation of neurological conditions and can have adverse effects on the …
Automatic analysis of EEGs using big data and hybrid deep learning architectures
M Golmohammadi, AH Harati Nejad Torbati… - Frontiers in human …, 2019 - frontiersin.org
Brain monitoring combined with automatic analysis of EEGs provides a clinical decision
support tool that can reduce time to diagnosis and assist clinicians in real-time monitoring …
support tool that can reduce time to diagnosis and assist clinicians in real-time monitoring …