脑机接口 / BCI

TSception: A Deep Learning Framework for Emotion Detection Using EEG

Yi Ding, Neethu Robinson, Qiuhao Zeng, Duo Chen, Aung Aung Phyo Wai, Tih-Shih Lee, Cuntai Guan

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

Comments Authors information updated only. Accepted to be published in: 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, July 19--24, 2020, part of 2020 IEEE World Congress on Computational Intelligence (IEEE WCCI 2020)

Estimation of phase in EEG rhythms for real-time applications

J. R. McIntosh, P. Sajda

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

EEG machine learning with Higuchi fractal dimension and Sample Entropy as features for successful detection of depression

Milena Cukic, David Pokrajac, Miodrag Stokic, slobodan Simic, Vlada Radivojevic, Milos Ljubisavljevic

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

Comments 34 pages, 4 Figures, 2 tables

Journal ref Cognitive Neurodynamics Springer Nature March 2020

Speaker Identification using EEG

Gautam Krishna, Co Tran, Mason Carnahan, Ahmed Tewfik

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

Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals

Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao

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

Comments 12 pages

Journal ref Published on ICONIP 2019

A study of resting-state EEG biomarkers for depression recognition

Shuting Sun, Jianxiu Li, Huayu Chen, Tao Gong, Xiaowei Li, Bin Hu

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

Prediction of Individual Propofol Requirements based on Preoperative EEG Signals

Young-Seok Kweon, Minji Lee, Dong-Ok Won, Kwang-Suk Seo

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

Comments 5 pages, 1 figure, 1 table

EEG Classification by factoring in Sensor Configuration

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

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

Comments arXiv admin note: text overlap with arXiv:1812.02865

Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals

Jenifer Kalafatovich, Minji Lee

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

Simultaneous Skull Conductivity and Focal Source Imaging from EEG Recordings with the help of Bayesian Uncertainty Modelling

Alexandra Koulouri, Ville Rimpilainen

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

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