脑机接口 / BCI

EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum

Matteo Demuru, Matteo Fraschini

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、eess.SP

Comments 11 pages, 2 figures

Decoding of visual-related information from the human EEG using an end-to-end deep learning approach

Lingling Yang, Leanne Lai Hang Chan, Yao Lu

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments \c{opyright} 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Objective evaluation metrics for automatic classification of EEG events

Saeedeh Ziyabari, Vinit Shah, Meysam Golmohammadi, Iyad Obeid, Joseph Picone

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments 22 pages, 11 figures, 9 tables

Manifold-regression to predict from MEG/EEG brain signals without source modeling

David Sabbagh, Pierre Ablin, Gael Varoquaux, Alexandre Gramfort, Denis A. Engemann

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

An automated approach for task evaluation using EEG signals

Vishal Anand, S. R. Sreeja, Debasis Samanta

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments 19 pages, 10 figures, 4 tables

A semi-supervised deep learning algorithm for abnormal EEG identification

Subhrajit Roy, Kiran Kate, Martin Hirzel

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract

Source localization of the EEG human brainwaves activities via all the different mother wavelets families for stationary wavelet transform decomposition

Tarek Frikha

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、eess.SP

Machine Learning Approaches for Detecting the Depression from Resting-State Electroencephalogram (EEG): A Review Study

Milena Čukić Radenković, Victoria Lopez Lopez

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments 30 pages, 1 table. arXiv admin note: substantial text overlap with arXiv1903.11454

On improving learning capability of ELM and an application to brain-computer interface

Apdullah Yayık, Yakup Kutlu, Gökhan Altan

专题命中 EEG解码 ：brain-computer interface(title,abstract)；分类 eess.SP、cs.LG

Comments 11 pages, 6 figures, Neural Computing and Application, Springer (under-review)

Direct information transfer rate optimisation for SSVEP-based BCI

Anti Ingel, Ilya Kuzovkin, Raul Vicente

专题命中 EEG解码 ：BCI(title,abstract)；分类 eess.SP、cs.LG

Journal ref Journal of neural engineering, 16(1), 016016 (2018)

Deep Invertible Networks for EEG-based brain-signal decoding

Robin Tibor Schirrmeister, Tonio Ball

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Machine learning without a feature set for detecting bursts in the EEG of preterm infants

John M. O'Toole, Geraldine B. Boylan

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Labeler-hot Detection of EEG Epileptic Transients

Lukasz Czekaj, Wojciech Ziembla, Pawel Jezierski, Pawel Swiniarski, Anna Kolodziejak, Pawel Ogniewski, Pawel Niedbalski, Anna Jezierska, Daniel Wesierski

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、cs.LG

Comments 5 pages, 6 figures, 1 table

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

Sumit A. Raurale, Saif Nalband, Geraldine B. Boylan, Gordon Lightbody, John M. O'Toole

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments 4 pages, to be appearing in upcoming 2019 EMBC conference

Electroencephalogram (EEG) for Delineating Objective Measure of Autism Spectrum Disorder (ASD) (Extended Version)

Yasith Jayawardana, Mark Jaime, Sashi Thapaliya, Sampath Jayarathna

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Seizure Detection using Least EEG Channels by Deep Convolutional Neural Network

Mustafa Talha Avcu, Zhuo Zhang, Derrick Wei Shih Chan

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior

Feng Liu, Li Wang, Yifei Lou, Rencang Li, Patrick Purdon

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition

Yang Li, Wenming Zheng, Lei Wang, Yuan Zong, Lei Qi, Zhen Cui, Tong Zhang, Tengfei Song

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、eess.SP

Emotion Recognition with Machine Learning Using EEG Signals

Omid Bazgir, Zeynab Mohammadi, Seyed Amir Hassan Habibi

专题命中 EEG解码 ：EEG(title,abstract)；分类 cs.LG、cs.HC

Journal ref 2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME)(pp. 1-5). IEEE

An Efficient Intelligent System for the Classification of Electroencephalography (EEG) Brain Signals using Nuclear Features for Human Cognitive Tasks

Emad-ul-Haq Qazi, Muhammad Hussain, Hatim Aboalsamh

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Adversarial Deep Learning in EEG Biometrics

Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments Accepted for publication by IEEE Signal Processing Letters

Journal ref IEEE Signal Processing Letters, 2019

Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study

Milena Cukic Radenkovic

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、cs.LG

Comments 31 pages, 4 Figures. arXiv admin note: text overlap with arXiv:1803.05985 by other authors

Residual Deep Convolutional Neural Network for EEG Signal Classification in Epilepsy

Diyuan Lu, Jochen Triesch

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Detecting Epileptic Seizures from EEG Data using Neural Networks

Siddharth Pramod, Adam Page, Tinoosh Mohsenin, Tim Oates

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、cs.LG

Comments This paper has been withdrawn by the authors due to an error discovered in the experiments

DOSED: a deep learning approach to detect multiple sleep micro-events in EEG signal

Stanislas Chambon, Valentin Thorey, Pierrick J. Arnal, Emmanuel Mignot, Alexandre Gramfort

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

EEG Classification based on Image Configuration in Social Anxiety Disorder

Lubna Shibly Mokatren, Rashid Ansari, Ahmet Enis Cetin, Alex D. Leow, Olusola Ajilore, Heide Klumpp, Fatos T. Yarman Vural

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

AI Neurotechnology for Aging Societies -- Task-load and Dementia EEG Digital Biomarker Development Using Information Geometry Machine Learning Methods

Tomasz M. Rutkowski, Qibin Zhao, Masao S. Abe, Mihoko Otake

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、cs.LG

Comments 5 pages, 2 figures, NeurIPS 2018 AI for Social Good Workshop at the Neural Information Processing Systems (NeurIPS = formerly NIPS) 2018. Montreal, Canada

Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition

Mathis Fleury, Pierre Maurel, Marsel Mano, Elise Bannier, Christian Barillot

专题命中 EEG解码 ：EEG(title,abstract)；分类 q-bio.NC、eess.SP

Comments ISMRM, Jun 2018, Paris, France. 2018, https://www.ismrm.org/

EEG-based video identification using graph signal modeling and graph convolutional neural network

Soobeom Jang, Seong-Eun Moon, Jong-Seok Lee

专题命中 EEG解码 ：EEG(title,abstract)；分类 eess.SP、cs.LG

Comments Accepted and presented at ICASSP 2018

Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information

Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee

专题命中 EEG解码 ：EEG(title,abstract)；分类 cs.LG、cs.HC

Comments Accepted for the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018)