newborn eeg Latest Research Papers

NEAR: An artifact removal pipeline for human newborn EEG data

Developmental Cognitive Neuroscience ◽

10.1016/j.dcn.2022.101068 ◽

2022 ◽

pp. 101068

Author(s):

Velu Prabhakar Kumaravel ◽

Elisabetta Farella ◽

Eugenio Parise ◽

Marco Buiatti

Keyword(s):

Artifact Removal ◽

Human Newborn ◽

Eeg Data ◽

Newborn Eeg

An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2020.102229 ◽

2021 ◽

Vol 63 ◽

pp. 102229

Author(s):

Ali Kareem Abbas ◽

Ghasem Azemi ◽

Samin Ravanshadi ◽

Amir Omidvarnia

Keyword(s):

Brain Connectivity ◽

Functional Brain ◽

Newborn Eeg

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

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) ◽

10.1109/embc44109.2020.9175337 ◽

2020 ◽

Author(s):

Sumit A. Raurale ◽

Geraldine B. Boylan ◽

Gordon Lightbody ◽

John M. O'Toole

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Hypoxic Ischemic Encephalopathy ◽

Newborn Eeg ◽

Ischemic Encephalopathy

Design and implementation of a multi-sensor newborn EEG seizure and background model with inter-channel field characterization

Digital Signal Processing ◽

10.1016/j.dsp.2019.02.003 ◽

2019 ◽

Vol 90 ◽

pp. 71-99

Author(s):

Mohammad F. Al-Sa'd ◽

Boualem Boashash

Keyword(s):

Background Model ◽

Design And Implementation ◽

Newborn Eeg

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

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8857000 ◽

2019 ◽

Author(s):

Sumit A. Raurale ◽

Saif Nalband ◽

Geraldine B. Boylan ◽

Gordon Lightbody ◽

John M. O'Toole

Keyword(s):

Detection Method ◽

Hypoxic Ischemic Encephalopathy ◽

Burst Detection ◽

Newborn Eeg ◽

Ischemic Encephalopathy

A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis

Digital Signal Processing ◽

10.1016/j.dsp.2018.08.019 ◽

2019 ◽

Vol 84 ◽

pp. 59-68 ◽

Cited By ~ 8

Author(s):

Payam Shahsavari Baboukani ◽

Ghasem Azemi ◽

Boualem Boashash ◽

Paul Colditz ◽

Amir Omidvarnia

Keyword(s):

Eeg Analysis ◽

Phase Synchrony ◽

Newborn Eeg ◽

Synchrony Measure

Time–Frequency Analysis for EEG Quality Measurement and Enhancement with Applications in Newborn EEG Abnormality Detection

Signal Processing and Machine Learning for Biomedical Big Data ◽

10.1201/9781351061223-5 ◽

2018 ◽

pp. 73-114 ◽

Cited By ~ 1

Author(s):

Boualem Boashash ◽

Samir Ouelha ◽

Mohammad Al-Sa’d ◽

Ayat Salim ◽

Paul Colditz

Keyword(s):

Frequency Analysis ◽

Quality Measurement ◽

Abnormality Detection ◽

Time Frequency Analysis ◽

Time Frequency ◽

Newborn Eeg

Improving the time-frequency image of newborn EEG seizure like signal using ambiguity domain characteristics of a general signal model

Journal of Neonatal Biology ◽

10.4172/2167-0897-c3-014 ◽

2018 ◽

Vol 07 ◽

Author(s):

Brahim Khalil Jawad

Keyword(s):

Signal Model ◽

Time Frequency ◽

Newborn Eeg

Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study

Digital Signal Processing ◽

10.1016/j.dsp.2017.07.010 ◽

2017 ◽

Vol 70 ◽

pp. 30-38 ◽

Cited By ~ 5

Author(s):

Parisa Mirzaei ◽

Ghasem Azemi ◽

Natia Japaridze ◽

Boualem Boashash

Keyword(s):

Surrogate Data ◽

Burst Suppression ◽

Eeg Signals ◽

Newborn Eeg

Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.06.015 ◽

2017 ◽

Vol 132 ◽

pp. 188-203 ◽

Cited By ~ 14

Author(s):

Boualem Boashash ◽

Hichem Barki ◽

Samir Ouelha

Keyword(s):

Performance Evaluation ◽

Seizure Detection ◽

Image Feature ◽

Time Frequency ◽

Feature Sets ◽

Stationary Signals ◽

Newborn Eeg

newborn eeg
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

NEAR: An artifact removal pipeline for human newborn EEG data

An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure

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

Design and implementation of a multi-sensor newborn EEG seizure and background model with inter-channel field characterization

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

A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis

Time–Frequency Analysis for EEG Quality Measurement and Enhancement with Applications in Newborn EEG Abnormality Detection

Improving the time-frequency image of newborn EEG seizure like signal using ambiguity domain characteristics of a general signal model

Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study

Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection

Export Citation Format

newborn eegRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

NEAR: An artifact removal pipeline for human newborn EEG data

An EEG-based methodology for the estimation of functional brain connectivity networks: Application to the analysis of newborn EEG seizure

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

Design and implementation of a multi-sensor newborn EEG seizure and background model with inter-channel field characterization

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

A novel multivariate phase synchrony measure: Application to multichannel newborn EEG analysis

Time–Frequency Analysis for EEG Quality Measurement and Enhancement with Applications in Newborn EEG Abnormality Detection

Improving the time-frequency image of newborn EEG seizure like signal using ambiguity domain characteristics of a general signal model

Surrogate data test for nonlinearity of EEG signals: A newborn EEG burst suppression case study

Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection

newborn eeg
Recently Published Documents