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Motor Imagery ataset from Ofner et al 2017

nm000173 · 95 high-confidence citations

  1. Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

    Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Ghadir Ali Altuwaijri, Wadood Abdul, Mohamed A. Bencherif, Mohammed Faisal · 2021 · Neural Computing and Applications

    Cites data paper 564 citations

  2. Brain-Controlled Robotic Arm System Based on Multi-Directional CNN-BiLSTM Network Using EEG Signals

    Ji-Hoon Jeong, Kyung-Hwan Shim, Dong‐Joo Kim, Seong–Whan Lee · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 291 citations

  3. Attempted Arm and Hand Movements can be Decoded from Low-Frequency EEG from Persons with Spinal Cord Injury

    Patrick Ofner, Andreas Schwarz, Joana Pereira, Daniela Wyss, Renate Wildburger, Gernot Müller-Putz · 2019 · Scientific Reports

    Cites data paper 164 citations

  4. A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level

    Nadia Mammone, Cosimo Ieracitano, Francesco Carlo Morabito · 2020 · Neural Networks

    Cites data paper 152 citations

  5. Brain-machine interfaces for rehabilitation in stroke: A review

    Eduardo López‐Larraz, Andrea Sarasola-Sanz, Nerea Irastorza-Landa, Niels Birbaumer, Ander Ramos‐Murguialday · 2018 · Neurorehabilitation

    Cites data paper 128 citations

  6. Learning joint space–time–frequency features for EEG decoding on small labeled data

    Dongye Zhao, Fengzhen Tang, Bailu Si, Xisheng Feng · 2019 · Neural Networks

    Cites data paper 117 citations

  7. Decoding Movement-Related Cortical Potentials Based on Subject-Dependent and Section-Wise Spectral Filtering

    Ji-Hoon Jeong, No-Sang Kwak, Cuntai Guan, Seong–Whan Lee · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 114 citations

  8. Thinking out loud, an open-access EEG-based BCI dataset for inner speech recognition

    Nicolás Nieto, Victoria Peterson, Hugo Leonardo Rufiner, Juan E. Kamienkowski, Rubén D. Spies · 2022 · Scientific Data

    Cites data paper 112 citations

  9. A novel explainable machine learning approach for EEG-based brain-computer interface systems

    Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco Carlo Morabito · 2021 · Neural Computing and Applications

    Cites data paper 111 citations

  10. Electroencephalography

    Gernot Müller-Putz · 2020 · Handbook of clinical neurology

    Cites data paper 107 citations

  11. NeuroGrasp: Real-Time EEG Classification of High-Level Motor Imagery Tasks Using a Dual-Stage Deep Learning Framework

    Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee · 2021 · IEEE Transactions on Cybernetics

    Cites data paper 106 citations

  12. How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art

    Pasquale Arpaïa, Antonio Espósito, Angela Natalizio, Marco Parvis · 2022 · Journal of Neural Engineering

    Cites data paper 100 citations

  13. Review of brain encoding and decoding mechanisms for EEG-based brain–computer interface

    Lichao Xu, Minpeng Xu, Tzyy‐Ping Jung, Dong Ming · 2021 · Cognitive Neurodynamics

    Cites data paper 96 citations

  14. Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression

    Yaqi Chu, Xingang Zhao, Yijun Zou, Wei Xu, Guoli Song, Jianda Han, Yiwen Zhao · 2020 · Journal of Neural Engineering

    Cites data paper 89 citations

  15. Continuous low-frequency EEG decoding of arm movement for closed-loop, natural control of a robotic arm

    Valeria Mondini, Reinmar J. Kobler, Andreea Ioana Sburlea, Gernot Müller-Putz · 2020 · Journal of Neural Engineering

    Cites data paper 87 citations

  16. Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

    Richard Krauth, Johanna Schwertner, Susanne Vogt, Sabine Lindquist, Michael Sailer, Almut Sickert, Juliane Lamprecht, Serafeim Perdikis, Tiffany Corbet, José del R. Millán, Hermann Hinrichs, Hans‐Jochen Heinze, Catherine M. Sweeney‐Reed · 2019 · Frontiers in Neurology

    Cites data paper 80 citations

  17. Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions

    Ji-Hoon Jeong, Jeong-Hyun Cho, Kyung-Hwan Shim, Byoung-Hee Kwon, Byeong-Hoo Lee, Do-Yeun Lee, Dae-Hyeok Lee, Seong–Whan Lee · 2020 · GigaScience

    Cites data paper 77 citations

  18. Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system

    Hyemin S. Lee, Leonhard Schreiner, Seong-Hyeon Jo, Sebastian Sieghartsleitner, Michael I. Jordan, Harald Pretl, Christoph Guger, Hyung‐Soon Park · 2022 · Frontiers in Neuroscience

    Cites data paper 71 citations

  19. Eye-blink artifact removal from single channel EEG with k-means and SSA

    Ajay Kumar Maddirala, Kalyana C. Veluvolu · 2021 · Scientific Reports

    Cites data paper 70 citations

  20. Human EEG reveals distinct neural correlates of power and precision grasping types

    Iñaki Iturrate, Ricardo Chavarriaga, Michael Pereira, Huaijian Zhang, Tiffany Corbet, Robert Leeb, José del R. Millán · 2018 · NeuroImage

    Cites data paper 67 citations

  21. EEG-based brain-computer interface enables real-time robotic hand control at individual finger level

    Yidan Ding, Chalisa Udompanyawit, Yisha Zhang, Bin He · 2025 · Nature Communications

    Cites data paper 63 citations

  22. Decoding hand movements from human EEG to control a robotic arm in a simulation environment

    Andreas Schwarz, Maria Katharina Höller, Joana Pereira, Patrick Ofner, Gernot Müller-Putz · 2020 · Journal of Neural Engineering

    Cites data paper 62 citations

  23. Upper limb complex movements decoding from pre-movement EEG signals using wavelet common spatial patterns

    Mahdieh Mohseni, Vahid Shalchyan, Mads Jochumsen, Imran Khan Niazi · 2019 · Computer Methods and Programs in Biomedicine

    Cites data paper 60 citations

  24. A Hybrid-Domain Deep Learning-Based BCI For Discriminating Hand Motion Planning From EEG Sources

    Cosimo Ieracitano, Francesco Carlo Morabito, Amir Hussain, Nadia Mammone · 2021 · International Journal of Neural Systems

    Cites data paper 60 citations

  25. Unimanual and Bimanual Reach-and-Grasp Actions Can Be Decoded From Human EEG

    Andreas Schwarz, Joana Pereira, Reinmar J. Kobler, Gernot Müller-Putz · 2019 · IEEE Transactions on Biomedical Engineering

    Cites data paper 57 citations

  26. DECODING OF UPPER LIMB MOVEMENT BY FRACTAL ANALYSIS OF ELECTROENCEPHALOGRAM (EEG) SIGNAL

    Hamidreza Namazi, Tirdad Seifi, Vladimír Kulish · 2018 · Fractals

    Cites data paper 55 citations

  27. Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control

    Jeong-Hyun Cho, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong‐Joo Kim, Seong–Whan Lee · 2018 · n/a

    Cites data paper 55 citations

  28. Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasks

    Reinmar J. Kobler, Andreea Ioana Sburlea, Gernot Müller-Putz · 2018 · Scientific Reports

    Cites data paper 54 citations

  29. Distinct cortical networks for hand movement initiation and directional processing: An EEG study

    Reinmar J. Kobler, Elizaveta Kolesnichenko, Andreea Ioana Sburlea, Gernot Müller-Putz · 2020 · NeuroImage

    Cites data paper 53 citations

  30. Analyzing and Decoding Natural Reach-and-Grasp Actions Using Gel, Water and Dry EEG Systems

    Andreas Schwarz, Carlos Escolano, Luis Montesano, Gernot Müller-Putz · 2020 · Frontiers in Neuroscience

    Cites data paper 50 citations

  31. Motor Imagery Classification Using Inter-Task Transfer Learning via a Channel-Wise Variational Autoencoder-Based Convolutional Neural Network

    Do-Yeun Lee, Ji-Hoon Jeong, Byeong-Hoo Lee, Seong–Whan Lee · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 49 citations

  32. REVE: A Foundation Model for EEG - Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects

    Yassine El Ouahidi, Jonathan Lys, Philipp Thölke, Nicolas Farrugia, B. Pasdeloup, Vincent Gripon, Karim Jerbi, Giulia Lioi · 2025 · ArXiv

    Cites data paper 46 citations

  33. EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets

    Joana Pereira, Andreea Ioana Sburlea, Gernot Müller-Putz · 2018 · Scientific Reports

    Cites data paper 45 citations

  34. Deep learning in motor imagery EEG signal decoding: A Systematic Review

    Aurora Saibene, Hafez Ghaemi, Eda Dağdevır · 2024 · Neurocomputing

    Cites data paper 44 citations

  35. Time-Distributed Attention Network for EEG-Based Motor Imagery Decoding From the Same Limb

    Xuelin Ma, Shuang Qiu, Huiguang He · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 43 citations

  36. Exploring representations of human grasping in neural, muscle and kinematic signals

    Andreea Ioana Sburlea, Gernot Müller-Putz · 2018 · Scientific Reports

    Cites data paper 43 citations

  37. EEG Classification of Forearm Movement Imagery Using a Hierarchical Flow Convolutional Neural Network

    Ji-Hoon Jeong, Byeong-Hoo Lee, Dae-Hyeok Lee, Yong-Deok Yun, Seong–Whan Lee · 2020 · IEEE Access

    Cites data paper 41 citations

  38. Generalized neural decoders for transfer learning across participants and recording modalities

    Steven Peterson, Zoe Steine-Hanson, Nathan Davis, Rajesh P. N. Rao, Bingni W. Brunton · 2021 · Journal of Neural Engineering

    Cites data paper 41 citations

  39. EEG-Based Motor BCIs for Upper Limb Movement: Current Techniques and Future Insights

    Jiarong Wang, Luzheng Bi, Weijie Fei · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 38 citations

  40. Deep Learning-Based Classification of Fine Hand Movements from Low Frequency EEG

    Giulia Bressan, Giulia Cisotto, Gernot R. Müller-Putz, Selina Christin Wriessnegger · 2021 · Future Internet

    Cites data paper 37 citations

  41. Factors that affect error potentials during a grasping task: toward a hybrid natural movement decoding BCI

    Jason Omedes, Andreas Schwarz, Gernot Müller-Putz, Luis Montesano · 2018 · Journal of Neural Engineering

    Cites data paper 36 citations

  42. Clustering Sparse Swarm Decomposition for Automated Recognition of Upper Limb Movements From Nonhomogeneous Cross-Channel EEG Signals

    Shailesh Vitthalrao Bhalerao, Ram Bilas Pachori · 2023 · IEEE Sensors Letters

    Cites data paper 35 citations

  43. SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals

    Ajay Kumar Maddirala, Kalyana C. Veluvolu · 2022 · Sensors

    Cites data paper 33 citations

  44. Decoding Finger Tapping With the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution

    Minji Lee, Ji-Hoon Jeong, Yun‐Hee Kim, Seong–Whan Lee · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 33 citations

  45. Detection and classification of single-trial movement-related cortical potentials associated with functional lower limb movements

    Mads Jochumsen, Imran Khan Niazi · 2020 · Journal of Neural Engineering

    Cites data paper 32 citations

  46. Decoding Hand Movement Types and Kinematic Information From Electroencephalogram

    Baoguo Xu, Yong Wang, Leying Deng, Changcheng Wu, Wenbin Zhang, Huijun Li, Aiguo Song · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 30 citations

  47. Review of public motor imagery and execution datasets in brain-computer interfaces

    Daeun Gwon, Kyungho Won, Minseok Song, Chang S. Nam, Sung Chan Jun, Minkyu Ahn · 2023 · Frontiers in Human Neuroscience

    Cites data paper 30 citations

  48. Corticomuscular and Intermuscular Coupling in Simple Hand Movements to Enable a Hybrid Brain–Computer Interface

    Emma Colamarino, Valeria de Seta, Marcella Masciullo, Febo Cincotti, Donatella Mattia, Floriana Pichiorri, Jlenia Toppi · 2021 · International Journal of Neural Systems

    Cites data paper 29 citations

  49. Phase Synchronization Information for Classifying Motor Imagery EEG From the Same Limb

    Baoguo Xu, Zhiwei Wei, Aiguo Song, Changcheng Wu, Dalin Zhang, Wenlong Li, Guozheng Xu, Huijun Li, Hong Zeng · 2019 · IEEE Access

    Cites data paper 29 citations

  50. Use of Mobile EEG in Decoding Hand Movement Speed and Position

    Neethu Robinson, Wei Jie Chester, Smitha KG · 2021 · IEEE Transactions on Human-Machine Systems

    Cites data paper 27 citations

  51. Investigation of Optimal Afferent Feedback Modality for Inducing Neural Plasticity with A Self-Paced Brain-Computer Interface

    Mads Jochumsen, Sylvain Crémoux, Lucien Robinault, Jimmy Lauber, Juan Carlos Arceo, Muhammad Samran Navid, Rasmus Wiberg Nedergaard, Usman Rashid, Heidi Haavik, Imran Khan Niazi · 2018 · Sensors

    Cites data paper 26 citations

  52. Applying intuitive EEG-controlled grasp neuroprostheses in individuals with spinal cord injury: Preliminary results from the MoreGrasp clinical feasibility study

    Gernot Müller-Putz, Rüdiger Rupp, Patrick Ofner, Joana Pereira, Andreas Pinegger, Andreas Schwarz, Marcel Zube, Ute Eck, Björn Hessing, Matthias Schneiders · 2019 · n/a

    Cites data paper 26 citations

  53. Current Trends, Challenges, and Future Research Directions of Hybrid and Deep Learning Techniques for Motor Imagery Brain–Computer Interface

    Emmanouil Lionakis, Konstantinos Κarampidis, Giorgos Papadourakis · 2023 · Multimodal Technologies and Interaction

    Cites data paper 26 citations

  54. Recognition of single upper limb motor imagery tasks from EEG using multi-branch fusion convolutional neural network

    Rui Zhang, Yadi Chen, Zongxin Xu, Lipeng Zhang, Yuxia Hu, Mingming Chen · 2023 · Frontiers in Neuroscience

    Cites data paper 26 citations

  55. Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task

    Anant Jain, Lalan Kumar · 2023 · Biomedical Signal Processing and Control

    Cites data paper 24 citations

  56. Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data

    Zhijie Fang, Weiqun Wang, Shixin Ren, Jiaxing Wang, Weiguo Shi, Xu Liang, Chen-Chen Fan, Zeng‐Guang Hou · 2020 · n/a

    Cites data paper 24 citations

  57. Robust anticipation of continuous steering actions from electroencephalographic data during simulated driving

    Giovanni M. Di Liberto, Michele Barsotti, Giovanni Vecchiato, Jonas Ambeck-Madsen, Maria Del Vecchio, Pietro Avanzini, Luca Ascari · 2021 · Scientific Reports

    Cites data paper 23 citations

  58. Decoding Different Reach-and-Grasp Movements Using Noninvasive Electroencephalogram

    Baoguo Xu, Dalin Zhang, Yong Wang, Leying Deng, Xin Wang, Changcheng Wu, Aiguo Song · 2021 · Frontiers in Neuroscience

    Cites data paper 23 citations

  59. Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control

    Gernot Müller-Putz, Reinmar J. Kobler, Joana Pereira, Catarina Lopes-Dias, Lea Hehenberger, Valeria Mondini, Víctor Martínez-Cagigal, Nitikorn Srisrisawang, Hannah Pulferer, Luka Batistić, Andreea Ioana Sburlea · 2022 · Frontiers in Human Neuroscience

    Cites data paper 22 citations

  60. DL-AMPUT-EEG: Design and development of the low-cost prosthesis for rehabilitation of upper limb amputees using deep-learning-based techniques

    Sachin Kansal, Dhruv Garg, Aditya Upadhyay, Snehil Mittal, Guneet Singh Talwar · 2023 · Engineering Applications of Artificial Intelligence

    Cites data paper 22 citations

  61. Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals

    Luis Hernández, Omar Mendoza-Montoya, Javier M. Antelis · 2020 · IEEE Access

    Cites data paper 22 citations

  62. Online detection of movement during natural and self-initiated reach-and-grasp actions from EEG signals

    Joana Pereira, Reinmar J. Kobler, Patrick Ofner, Andreas Schwarz, Gernot Müller-Putz · 2021 · Journal of Neural Engineering

    Cites data paper 22 citations

  63. Predicting motor behavior: an efficient EEG signal processing pipeline to detect brain states with potential therapeutic relevance for VR-based neurorehabilitation

    Eric James McDermott, Johanna Metsomaa, Paolo Belardinelli, Moritz Grosse‐Wentrup, Ulf Ziemann, Christoph Zrenner · 2021 · Virtual Reality

    Cites data paper 21 citations

  64. Single upper limb functional movements decoding from motor imagery EEG signals using wavelet neural network

    Xiaobo Zhou, Renling Zou, Xiayang Huang · 2021 · Biomedical Signal Processing and Control

    Cites data paper 21 citations

  65. Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

    Karina Statthaler, Andreas Schwarz, David Steyrl, Reinmar J. Kobler, Maria Katharina Höller, Julia Brandstetter, Lea Hehenberger, Marvin Bigga, Gernot Müller-Putz · 2017 · Journal of NeuroEngineering and Rehabilitation

    Cites data paper 21 citations

  66. Towards unlocking motor control in spinal cord injured by applying an online EEG-based framework to decode motor intention, trajectory and error processing

    Valeria Mondini, Andreea Ioana Sburlea, Gernot Müller-Putz · 2024 · Scientific Reports

    Cites data paper 20 citations

  67. A novel deep learning approach to predict subject arm movements from EEG-based signals

    Sachin Kansal, Dhruv Garg, Aditya Upadhyay, Snehil Mittal, Guneet Singh Talwar · 2023 · Neural Computing and Applications

    Cites data paper 20 citations

  68. Multiband decomposition and spectral discriminative analysis for motor imagery BCI via deep neural network

    Pengpai Wang, Mingliang Wang, Yueying Zhou, Ziming Xu, Daoqiang Zhang · 2022 · Frontiers of Computer Science

    Cites data paper 20 citations

  69. Comparing Recalibration Strategies for Electroencephalography-Based Decoders of Movement Intention in Neurological Patients with Motor Disability

    Eduardo López‐Larraz, Jaime Ibáñez, Fernando Trincado-Alonso, Esther Monge‐Pereira, José L. Pons, Luis Montesano · 2017 · International Journal of Neural Systems

    Cites data paper 19 citations

  70. Study of the Home-Auxiliary Robot Based on BCI

    Fuwang Wang, Xiaolei Zhang, Rongrong Fu, Guangbin Sun · 2018 · Sensors

    Cites data paper 18 citations

  71. Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data

    H. Y. Wang, Jiuchuan Jiang, John Q. Gan, Haixian Wang · 2023 · IEEE Transactions on Biomedical Engineering

    Cites data paper 17 citations

  72. Convolutional Neural Network for Imagine Movement Classification for Neurorehabilitation of Upper Extremities Using Low-Frequency EEG Signals for Spinal Cord Injury

    Mario G. Gualsaquí, Alejandro S. Delgado, Lady L. González, Giovana F. Vaca, Diego Almeida-Galárraga, Graciela Marisa Salum, Carolina Cadena-Morejón, Andrés Tirado-Espín, Fernando Villalba-Meneses · 2022 · Communications in computer and information science

    Cites data paper 16 citations

  73. Online Brain Computer Interface Based Five Classes EEG To Control Humanoid Robotic Hand

    Mohammed Z. Al-Faiz, Ammar A. Al-Hamadani · 2019 · n/a

    Cites data paper 16 citations

  74. Decoding Premovement Patterns with Task-Related Component Analysis

    Feng Duan, Hao Jia, Zhe Sun, Kai Zhang, Yangyang Dai, Yu Zhang · 2021 · Cognitive Computation

    Cites data paper 16 citations

  75. Pseudo-online detection and classification for upper-limb movements

    Jiansheng Niu, Ning Jiang · 2022 · Journal of Neural Engineering

    Cites data paper 15 citations

  76. A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals

    Jeong-Hyun Cho, Ji-Roon Jeong, Dong‐Joo Kim, Seong–Whan Lee · 2020 · n/a

    Cites data paper 15 citations

  77. Applying Dimensionality Reduction Techniques in Source-Space Electroencephalography via Template and Magnetic Resonance Imaging-Derived Head Models to Continuously Decode Hand Trajectories

    Nitikorn Srisrisawang, Gernot Müller-Putz · 2022 · Frontiers in Human Neuroscience

    Cites data paper 15 citations

  78. TDLNet: Transfer Data Learning Network for Cross-Subject Classification Based on Multiclass Upper Limb Motor Imagery EEG

    Jingfeng Bi, Ming Chu · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 15 citations

  79. A High-Rate Hybrid BCI System Based on High-Frequency SSVEP and sEMG

    Hongyan Cui, Xinyi Chi, Lei Wang, Xiaogang Chen · 2023 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 15 citations

  80. Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance

    Lea Hehenberger, Luka Batistić, Andreea Ioana Sburlea, Gernot Müller-Putz · 2021 · Frontiers in Human Neuroscience

    Cites data paper 15 citations

  81. A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals

    Nadia Mammone, Cosimo Ieracitano, Rossella Spataro, Christoph Guger, Woosang Cho, Francesco Carlo Morabito · 2023 · International Journal of Neural Systems

    Cites data paper 14 citations

  82. A Deep Classifier for Upper-Limbs Motor Anticipation Tasks in an Online BCI Setting

    Andrea Valenti, Michele Barsotti, Davide Bacciu, Luca Ascari · 2021 · Bioengineering

    Cites data paper 14 citations

  83. Response of the Cerebral Cortex to Resistance and Non-resistance Exercise Under Different Trajectories: A Functional Near-Infrared Spectroscopy Study

    Ping Shi, Anan Li, Hongliu Yu · 2021 · Frontiers in Neuroscience

    Cites data paper 14 citations

  84. Weighted Brain Network Metrics for Decoding Action Intention Understanding Based on EEG

    Xingliang Xiong, Zhenhua Yu, Tian Ma, Ning Luo, Haixian Wang, Xuesong Lu, Hui Fan · 2020 · Frontiers in Human Neuroscience

    Cites data paper 14 citations

  85. Exploring Imagined Movement for Brain–Computer Interface Control: An fNIRS and EEG Review

    Robert Finnis, Adeel Mehmood, Henning Holle, Jamshed Iqbal · 2025 · Brain Sciences

    Cites data paper 14 citations

  86. Electroencephalogram Source Imaging and Brain Network Based Natural Grasps Decoding

    Baoguo Xu, Leying Deng, Dalin Zhang, Muhui Xue, Huijun Li, Hong Zeng, Aiguo Song · 2021 · Frontiers in Neuroscience

    Cites data paper 13 citations

  87. Assessing the impact of vibrotactile kinaesthetic feedback on electroencephalographic signals in a center-out task

    Lea Hehenberger, Andreea Ioana Sburlea, Gernot Müller-Putz · 2020 · Journal of Neural Engineering

    Cites data paper 13 citations

  88. On the robustness of EEG tensor completion methods

    Feng Duan, Hao Jia, Zhang Zhiwen, Fan Feng, Ying Tan, Yangyang Dai, Andrzej Cichocki, Zhenglu Yang, César F. Caiafa, Zhe Sun, Jordi Solé‐Casals · 2021 · Science China Technological Sciences

    Cites data paper 13 citations

  89. Pallidal and Cortical Oscillations in Freely Moving Patients With Dystonia

    Alberto Averna, Mattia Arlotti, Manuela Rosa, Stéphan Chabardès, Éric Seigneuret, Alberto Priori, Elena Moro, Sara Meoni · 2021 · Neuromodulation Technology at the Neural Interface

    Cites data paper 13 citations

  90. Classifying action intention understanding EEG signals based on weighted brain network metric features

    Xingliang Xiong, Zhenhua Yu, Tian Ma, Haixian Wang, Xuesong Lu, Hui Fan · 2020 · Biomedical Signal Processing and Control

    Cites data paper 12 citations

  91. On the extraction of purely motor EEG neural correlates during an upper limb visuomotor task

    Carlos Bibián, Nerea Irastorza-Landa, Monika Schönauer, Niels Birbaumer, Eduardo López‐Larraz, Ander Ramos‐Murguialday · 2021 · Cerebral Cortex

    Cites data paper 12 citations

  92. Hierarchical Graphical Models for Context-Aware Hybrid Brain-Machine Interfaces

    Ozan Özdenizci, Sezen Yağmur Günay, Fernando Quivira, Deniz Erdoğmuş · 2018 · n/a

    Cites data paper 12 citations

  93. Multimodal decoding of error processing in a virtual reality flight simulation

    Michael Wimmer, Nicole Weidinger, Eduardo Veas, Gernot Müller-Putz · 2024 · Scientific Reports

    Cites data paper 12 citations

  94. Influence of the number of trials on evoked motor cortical activity in EEG recordings

    Marta Sánchez Borràs, Sergio Romero, Joan Francesc Alonso, Alejandro Bachiller, Leidy Y. Serna, Carolina Migliorelli, Miguel Ángel Mañanas · 2022 · Journal of Neural Engineering

    Cites data paper 12 citations

  95. Unraveling EEG correlates of unimanual finger movements: insights from non-repetitive flexion and extension tasks

    Qiang Sun, Eva Calvo Merino, Liuyin Yang, Marc M. Van Hulle · 2024 · Journal of NeuroEngineering and Rehabilitation

    Cites data paper 12 citations

5 lower-confidence citations (not counted)
  1. Non-Invasive Brain-Computer Interfaces: State of the Art and Trends

    Bradley J. Edelman, Shuailei Zhang, Gerwin Schalk, Peter Brunner, Gernot Müller-Putz, Cuntai Guan, Bin He · 2024 · IEEE Reviews in Biomedical Engineering

    Cites data paper 131 citations

  2. Brain-Controlled Adaptive Lower Limb Exoskeleton for Rehabilitation of Post-Stroke Paralyzed

    P G Vinoj, Sunil Jacob, Varun G. Menon, Sreeja Rajesh, Mohammad R. Khosravi · 2019 · IEEE Access

    Cites data paper 97 citations

  3. Single-paradigm and hybrid brain computing interfaces and their use by disabled patients

    Martijn de Neeling, Marc M. Van Hulle · 2019 · Journal of Neural Engineering

    Cites data paper 20 citations

  4. Challenges of neural interfaces for stroke motor rehabilitation

    Carmen Vidaurre, Nerea Irastorza-Landa, Andrea Sarasola-Sanz, Ainhoa Insausti-Delgado, Andreas M. Ray, Carlos Bibián, Florian Helmhold, Wala Mahmoud, Iñaki Ortego-Isasa, Eduardo López‐Larraz, Héctor Lozano Peiteado, Ander Ramos‐Murguialday · 2023 · Frontiers in Human Neuroscience

    Cites data paper 19 citations

  5. Brain–Computer Interface—A Brain-in-the-Loop Communication System

    Xiaorong Gao, Yijun Wang, Xiaogang Chen, Bingchuan Liu, Shangkai Gao · 2025 · Proceedings of the IEEE

    Cites data paper 12 citations