脑机接口 / BCI

Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State

Jae-Geun Yoon, Minji Lee

专题命中 运动想象 ：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning

Mohammad H. Alomari, Aya Samaha, Khaled AlKamha

专题命中 运动想象 ：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；cortical(abstract)

Comments 6 pages, 4 figures

Journal ref International Journal of Advanced Computer Science and Applications (ijacsa) 07/2013; 4(6):207-212

Embodied Virtual Reality Feedback Reshapes Neural Representations to Support Continuous Three-Dimensional Motor Imagery Decoding

具身虚拟现实反馈重塑神经表征以支持连续三维运动想象解码

Niall McShane, Attila Korik, Karl McCreadie, Naomi Du Bois, Darryl Charles, Damien Coyle

专题命中 运动想象 ：motor imagery(title,abstract)；BCI(abstract_cn)；brain-computer interface(abstract)；分类 q-bio.NC、eess.SP、cs.HC

AI总结 本研究通过十名参与者的纵向实验，首次系统探究了具身虚拟现实反馈在实时三维虚拟肢体运动想象控制中的作用，发现VR反馈显著优于屏幕反馈，能提升解码性能并诱发更可解码和泛化的神经表征。

Comments 28 pages, 7 figures, 3 tables. Submitted to Nature Biomedical Engineering. Data to be made available via Zenodo (DOI: 10.5281/zenodo.16047021)

A Strong and Simple Deep Learning Baseline for BCI MI Decoding

Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi

专题命中 运动想象 ：BCI(title,abstract)；EEG(abstract)；motor imagery(abstract)；分类 q-bio.NC、eess.SP、cs.LG

An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing

Xiaying Wang, Michael Hersche, Batuhan Tömekce, Burak Kaya, Michele Magno, Luca Benini

专题命中 运动想象 ：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)；分类 eess.SP、cs.LG、cs.HC

Deep learning-based classification of fine hand movements from low frequency EEG

Giulia Bressan, Selina C. Wriessnegger, Giulia Cisotto

专题命中 运动想象 ：EEG(title,abstract)；brain-computer interface(abstract)；cortical(abstract)；分类 eess.SP、cs.LG、cs.HC

Motor Imagery Decoding Using Ensemble Curriculum Learning and Collaborative Training

Georgios Zoumpourlis, Ioannis Patras

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract,comments)；EEG(abstract)；分类 eess.SP

Comments Accepted for publication in 12th IEEE International Winter Conference on Brain-Computer Interface (BCI), 2024. Code: https://github.com/gzoumpourlis/Ensemble-MI

Optimizing BCI Rehabilitation Protocols for Stroke: Exploring Task Design and Training Duration

Aniana Cruz, Marko Kuzmanoski, Gabriel Pires

专题命中 运动想象 ：BCI(title,abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 q-bio.NC、eess.SP

Comments 4 pages, 4 figures, accepted for 8th IEEE ENBENG Conference

HappyFeat -- An interactive and efficient BCI framework for clinical applications

Arthur Desbois, Tristan Venot, Fabrizio De Vico Fallani, Marie-Constance Corsi

专题命中 运动想象 ：BCI(title,abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 q-bio.NC、cs.LG

Comments 17 pages, 5 figures, 1 table, "Annex" section

Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective from the Time-Frequency Analysis

Ce Ju, Cuntai Guan

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 eess.SP、cs.LG

Comments 15 pages, 5 figures, 6 Tables; This work has been accepted by the IEEE Transactions on Neural Networks and Learning Systems, 2023. Copyright will be transferred without notice, after which this version may no longer be accessible

Decoding Brain Motor Imagery with various Machine Learning techniques

Giovanni Jana, Corey Karnei, Shuvam Keshari

专题命中 运动想象 ：motor imagery(title,abstract)；BCI(abstract)；brain computer interface(abstract)；分类 cs.LG、cs.HC

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

Ce Ju, Cuntai Guan

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 eess.SP、cs.LG

Comments 15 pages, 10 figures, 12 tables; This work has been accepted by the IEEE Transactions on Neural Networks and Learning Systems. Copyright will be transferred without notice, after which this version may no longer be accessible

A New Method for Features Normalization in Motor Imagery Few-Shot Learning using Resting-State

M. Amin. Ghasemi, Sadjaad Ozgoli, Ali. M. NasrAbadi

专题命中 运动想象 ：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 q-bio.NC、eess.SP

Comments 17 pages

Preliminary Assessment of hands motor imagery in theta- and beta-bands for Brain-Machine-Interfaces using functional connectivity analysis

Jorge Antonio Gaxiola Tirado

专题命中 运动想象 ：motor imagery(title,abstract)；brain computer interface(abstract)；EEG(abstract)；分类 q-bio.NC、eess.SP

Comments Article accepted and presented at IGS2019- YOUR BRAIN ON ART

A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform

Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim

专题命中 运动想象 ：BCI(title,abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 q-bio.NC、cs.HC

Comments 5 pages, 4 figures, 2 tables

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network

Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam, Yaoxue Zhang, Ali Etemad

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

Electrocorticographic Dynamics Predict Visually Guided Motor Imagery of Grasp Shaping

Jing Wu, Kaitlyn Casimo, David J. Caldwell, Rajesh P. N. Rao, Jeffrey G. Ojemann

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract)；cortical(abstract)；分类 q-bio.NC、cs.HC

Comments 4 pages, 6 figures, accepted to IEEE NER 2017 (8th International IEEE EMBS Conference on Neural Engineering)

A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI

Berdakh Abibullaev, Jinung An, Seung-Hyun Lee, Jeon-Il Moon

专题命中 运动想象 ：BCI(title,abstract)；brain-computer interface(abstract)；motor imagery(abstract)；分类 q-bio.NC、cs.HC

Comments 13 pages, 6 figures

Natural movement with concurrent brain-computer interface control induces persistent dissociation of neural activity

Luke Bashford, Jing Wu, Devapratim Sarma, Kelly Collins, Jeff Ojemann, Carsten Mehring

专题命中 运动想象 ：brain-computer interface(title,abstract)；BCI(abstract,comments)；cortical(abstract)；分类 q-bio.NC

Comments 2 pages, 3 figures, submitted to the annual BCI research award 2016 http://www.bci-award.com/

Freeze the BCI until the user is ready: a pilot study of a BCI inhibitor

Laurent George, Laurent Bonnet, Anatole Lécuyer

专题命中 运动想象 ：BCI(title,abstract)；brain-computer interface(abstract,comments)；motor imagery(abstract)；分类 cs.HC

Comments 5th International Brain-Computer Interface Workshop (2011)

Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification

Ji-Seon Bang, Seong-Whan Lee

专题命中 运动想象 ：motor imagery(title)；BCI(abstract,comments)；brain computer interface(abstract)；EEG(abstract)

Comments Submitted to IEEE 10th International Winter Conference on Brain-Computer Interface (BCI 2022)

Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram

运动想象脑电图跨受试者分类中的贝叶斯完全池化

Ethan Davis

机构 * University of Washington（华盛顿大学） 纠错

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 cs.LG

AI总结 研究对比贝叶斯完全池化模型与频率主义基线用于跨受试者运动想象脑电图分类，经多指标分析发现前者可靠性有统计学改善但实际不显著，计算成本高，表明其实际益处有限，跨受试者和会话部分池化是更有前景方向。

Geometry-Aware Deep Congruence Networks for Manifold Learning in Cross-Subject Motor Imagery

用于跨主体运动想象中流形学习的几何感知深度一致性网络

Sanjeev Manivannan, Chandra Shekar Lakshminarayan

机构 * Department of Biotechnology（生物技术系） ； Indian Institute of Technology Madras（印度理工学院马德拉斯分校） ； Department of Data Science and Artificial Intelligence（数据科学与人工智能系） 纠错

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 cs.LG

AI总结 针对跨主体运动想象解码难题，提出几何感知一致性变换及三个互补模型，既作流形对齐模块又作端到端判别架构评估，实验表明该方法能提升转导解码性能，有效减轻脑电图解码中主体间差异。

Comments 77 pages (Main paper - 13 pages, Appendix - 64 pages)

The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs

运动想象脑机接口中分布外检测的挑战

Merlijn Quincent Mulder, Matias Valdenegro-Toro, Andreea Ioana Sburlea, Ivo Pascal de Jong

机构 * Department of Artificial Intelligence, University of Groningen（格罗宁根大学人工智能系） 纠错

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 cs.LG

AI总结 本文研究了运动想象脑机接口中分布外检测的挑战，通过训练模型并观察对未知类别的检测能力，发现高不确定性影响检测效果，MC Dropout表现最佳，高分类准确率可提升检测鲁棒性。

CLEAN-MI: A Scalable and Efficient Pipeline for Constructing High-Quality Neurodata in Motor Imagery Paradigm

Dingkun Liu, Zhu Chen, Dongrui Wu

机构 * Ministry of Education Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（教育部长图像处理与智能控制重点实验室，人工智能与自动化学院，华中科技大学） ； Zhongguancun Academy（中关村学院） 纠错

专题命中 运动想象 ：motor imagery(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 cs.LG

Comments 10 pages, 6 figures

Subject Specific Deep Learning Model for Motor Imagery Direction Decoding

Praveen K. Parashiva, Sagila Gangadaran, A. P. Vinod

专题命中 运动想象 ：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；分类 eess.SP

Source Aware Deep Learning Framework for Hand Kinematic Reconstruction using EEG Signal

Sidharth Pancholi, Amita Giri, Anant Jain, Lalan Kumar, Sitikantha Roy

专题命中 运动想象 ：EEG(title,abstract)；BCI(abstract)；brain computer interface(abstract)；分类 eess.SP

Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism

Navid Ayoobi, Elnaz Banan Sadeghian

专题命中 运动想象 ：motor imagery(title)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments to appear in 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022)

Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution

Antonio Quintero-Rincón, Carlos D'Giano, Hadj Batatia

专题命中 运动想象 ：motor imagery(title)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments 10 pages, 6 Figures, 4 tables

Journal ref IEEE 2020

Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision

M. A. Ramirez-Moreno, D. Gutiérrez

专题命中 运动想象 ：brain-computer interface(title,abstract)；BCI(abstract)；motor imagery(abstract)；分类 eess.SP

Comments Research Article 9374802 accepted for publication in Computational Intelligence and Neuroscience