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Motor Imagery dataset from Cho et al 2017

nm000245 · 93 high-confidence citations

1. EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy

   Min-Ho Lee, Oyeon Kwon, Yong-Jeong Kim, Hong-Kyung Kim, Young-Eun Lee, John Williamson, Siamac Fazli, Seong–Whan Lee · 2019 · GigaScience

   Cites data paper 564 citations

2. 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

3. EEG datasets for motor imagery brain–computer interface

   Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon, Sung Chan Jun · 2017 · GigaScience

   Cites data paper 346 citations

4. A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

   Jin Xie, J. X. Zhang, Jiayao Sun, Zheng Ma, Liuni Qin, Guanglin Li, Huihui Zhou, Yang Zhan · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

   Cites data paper 292 citations

5. Brain-Computer Interface: Advancement and Challenges

   M. F. Mridha, Sujoy Chandra Das, Md. Mohsin Kabir, Aklima Akter Lima, Md. Rashedul Islam, Yutaka Watanobe · 2021 · Sensors

   Cites data paper 255 citations

6. Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces

   Pedro Luiz Coelho Rodrigues, Christian Jutten, Marco Congedo · 2018 · IEEE Transactions on Biomedical Engineering

   Cites data paper 210 citations

7. A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals

   Zhiwen Zhang, Feng Duan, Jordi Solé‐Casals, Josep Dinarès-Ferran, Andrzej Cichocki, Zhenglu Yang, Zhe Sun · 2019 · IEEE Access

   Cites data paper 193 citations

8. A large electroencephalographic motor imagery dataset for electroencephalographic brain computer interfaces

   Murat Kaya, Mustafa Kemal Binli, Erkan Özbay, Hilmi Yanar, Yuriy Mishchenko · 2018 · Scientific Data

   Cites data paper 175 citations

9. MOABB: trustworthy algorithm benchmarking for BCIs

   Vinay Jayaram, Alexandre Barachant · 2018 · Journal of Neural Engineering

   Cites data paper 173 citations

10. Classification of multiple motor imagery using deep convolutional neural networks and spatial filters

    Brenda Elizabeth Olivas-Padilla, Mario I. Chacón-Murguía · 2018 · Applied Soft Computing

    Cites data paper 141 citations

11. An EEG/EMG/EOG-Based Multimodal Human-Machine Interface to Real-Time Control of a Soft Robot Hand

    Jinhua Zhang, Baozeng Wang, Chengyu Zhang, Yanqing Xiao, Michael Yu Wang · 2019 · Frontiers in Neurorobotics

    Cites data paper 140 citations

12. Brain wave classification using long short-term memory network based OPTICAL predictor

    Shiu Kumar, Alok Sharma, Tatsuhiko Tsunoda · 2019 · Scientific Reports

    Cites data paper 129 citations

13. Cross-Dataset Variability Problem in EEG Decoding With Deep Learning

    Lichao Xu, Minpeng Xu, Yufeng Ke, Xingwei An, Shuang Liu, Dong Ming · 2020 · Frontiers in Human Neuroscience

    Cites data paper 123 citations

14. Exploiting pretrained CNN models for the development of an EEG-based robust BCI framework

    Muhammad Tariq Sadiq, Muhammad Zulkifal Aziz, Ahmad Almogren, Adnan Yousaf, Siuly Siuly, Ateeq Ur Rehman · 2022 · Computers in Biology and Medicine

    Cites data paper 117 citations

15. Decoding EEG Rhythms During Action Observation, Motor Imagery, and Execution for Standing and Sitting

    Rattanaphon Chaisaen, Phairot Autthasan, Nopparada Mingchinda, Pitshaporn Leelaarporn, Narin Kunaseth, Suppakorn Tammajarung, Poramate Manoonpong, Subhas Chandra Mukhopadhyay, Theerawit Wilaiprasitporn · 2020 · IEEE Sensors Journal

    Cites data paper 117 citations

16. Multi-Scale Neural Network for EEG Representation Learning in BCI

    Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung‐Il Suk · 2021 · IEEE Computational Intelligence Magazine

    Cites data paper 110 citations

17. Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users

    Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani · 2022 · PLoS ONE

    Cites data paper 103 citations

18. Toward the Development of Versatile Brain–Computer Interfaces

    Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly, Weiping Ding · 2021 · IEEE Transactions on Artificial Intelligence

    Cites data paper 103 citations

19. 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

20. Learning Invariant Representations From EEG via Adversarial Inference

    Ozan Özdenizci, Ye Wang, Toshiaki Koike–Akino, Deniz Erdoğmuş · 2020 · IEEE Access

    Cites data paper 98 citations

21. Multiclass Classification of Word Imagination Speech With Hybrid Connectivity Features

    Muhammad Naveed Iqbal Qureshi, Beomjun Min, Hyeong-jun Park, Dongrae Cho, Woosu Choi, Boreom Lee · 2017 · IEEE Transactions on Biomedical Engineering

    Cites data paper 95 citations

22. A large EEG dataset for studying cross-session variability in motor imagery brain-computer interface

    Jun Ma, Banghua Yang, Wenzheng Qiu, Yunzhe Li, Shouwei Gao, Xinxing Xia · 2022 · Scientific Data

    Cites data paper 81 citations

23. 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

24. VME-DWT: An Efficient Algorithm for Detection and Elimination of Eye Blink From Short Segments of Single EEG Channel

    Mohammad Shahbakhti, Matin Beiramvand, Mojtaba Nazari, Anna Broniec, Piotr Augustyniak, Ana Santos Rodrigues, Michał Wierzchoń, Vaidotas Marozas · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 75 citations

25. EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces

    Kyungho Won, Moonyoung Kwon, Minkyu Ahn, Sung Chan Jun · 2022 · Scientific Data

    Cites data paper 62 citations

26. A New Method to Generate Artificial Frames Using the Empirical Mode Decomposition for an EEG-Based Motor Imagery BCI

    Josep Dinarès-Ferran, Rupert Ortner, Christoph Guger, Jordi Solé‐Casals · 2018 · Frontiers in Neuroscience

    Cites data paper 58 citations

27. Analysis of Electroencephalography Event-Related Desynchronisation and Synchronisation Induced by Lower-Limb Stepping Motor Imagery

    Yi‐Hung Liu, Li‐Fong Lin, Chun-Wei Chou, Yun Chang, Yu-Tsung Hsiao, Wei-Chun Hsu · 2018 · Journal of Medical and Biological Engineering

    Cites data paper 57 citations

28. An EEG motor imagery dataset for brain computer interface in acute stroke patients

    Haijie Liu, Penghu Wei, Haochong Wang, Xiaodong Lv, Wei Duan, Meijie Li, Yan Zhao, Qingmei Wang, Xinyuan Chen, Gaige Shi, Bo Han, Junwei Hao · 2024 · Scientific Data

    Cites data paper 56 citations

29. CNN based classification of motor imaginary using variational mode decomposed EEG-spectrum image

    K. Keerthi Krishnan, K. P. Soman · 2021 · Biomedical Engineering Letters

    Cites data paper 55 citations

30. Benefits of deep learning classification of continuous noninvasive brain–computer interface control

    James Stieger, Stephen A. Engel, Daniel Suma, Bin He · 2021 · Journal of Neural Engineering

    Cites data paper 54 citations

31. Continuous sensorimotor rhythm based brain computer interface learning in a large population

    James Stieger, Stephen A. Engel, Bin He · 2021 · Scientific Data

    Cites data paper 49 citations

32. Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces

    Nikki Leeuwis, Alissa Paas, Maryam Alimardani · 2021 · Frontiers in Human Neuroscience

    Cites data paper 47 citations

33. Space-time recurrences for functional connectivity evaluation and feature extraction in motor imagery brain-computer interfaces

    Paula G. Rodrigues, Carlos Alberto Stefano Filho, Romis Attux, Gabriela Castellano, Diogo C. Soriano · 2019 · Medical & Biological Engineering & Computing

    Cites data paper 46 citations

34. Multi-source manifold feature transfer learning with domain selection for brain-computer interfaces

    Qingshan She, Yinhao Cai, Shengzhi Du, Yun Chen · 2022 · Neurocomputing

    Cites data paper 46 citations

35. Finger pinching and imagination classification: A fusion of CNN architectures for IoMT-enabled BCI applications

    Giuseppe Varone, Wadii Boulila, Maha Driss, Saru Kumari, Muhammad Khurram Khan, Thippa Reddy Gadekallu, Amir Hussain · 2023 · Information Fusion

    Cites data paper 46 citations

36. 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

37. Data augmentation strategies for EEG-based motor imagery decoding

    Olawunmi George, Roger O. Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed · 2022 · Heliyon

    Cites data paper 44 citations

38. User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface

    Minkyu Ahn, Hohyun Cho, Sangtae Ahn, Sung Chan Jun · 2018 · Frontiers in Human Neuroscience

    Cites data paper 44 citations

39. Alpha and high gamma phase amplitude coupling during motor imagery and weighted cross-frequency coupling to extract discriminative cross-frequency patterns

    Daeun Gwon, Minkyu Ahn · 2021 · NeuroImage

    Cites data paper 44 citations

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

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

    Cites data paper 44 citations

41. A Benchmark Dataset for RSVP-Based Brain–Computer Interfaces

    Shangen Zhang, Yijun Wang, Lijian Zhang, Xiaorong Gao · 2020 · Frontiers in Neuroscience

    Cites data paper 41 citations

42. CNN With Large Data Achieves True Zero-Training in Online P300 Brain-Computer Interface

    Jongmin Lee, Kyungho Won, Moonyoung Kwon, Sung Chan Jun, Minkyu Ahn · 2020 · IEEE Access

    Cites data paper 40 citations

43. Comparison of subject-independent and subject-specific EEG-based BCI using LDA and SVM classifiers

    Eliana Santos, Rodrigo San-Martin, Francisco J. Fraga · 2023 · Medical & Biological Engineering & Computing

    Cites data paper 40 citations

44. EEG-based classification combining Bayesian convolutional neural networks with recurrence plot for motor movement/imagery

    Wenqie Huang, Guanghui Yan, Wenwen Chang, Yuchan Zhang, Yueting Yuan · 2023 · Pattern Recognition

    Cites data paper 38 citations

45. Dual Attention Relation Network With Fine-Tuning for Few-Shot EEG Motor Imagery Classification

    Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park · 2023 · IEEE Transactions on Neural Networks and Learning Systems

    Cites data paper 37 citations

46. A Review on Signal Processing Approaches to Reduce Calibration Time in EEG-Based Brain–Computer Interface

    Xin Huang, Yilu Xu, Jing Hua, Wenlong Yi, Hua Yin, Rong‐Hua Hu, Shiyi Wang · 2021 · Frontiers in Neuroscience

    Cites data paper 35 citations

47. Deep Neural Network with Joint Distribution Matching for Cross‐Subject Motor Imagery Brain‐Computer Interfaces

    Xianghong Zhao, Jieyu Zhao, Cong Liu, Weiming Cai · 2020 · BioMed Research International

    Cites data paper 33 citations

48. Feature Extraction of Brain–Computer Interface Electroencephalogram Based on Motor Imagery

    Tianwei Shi, Ling Ren, Wenhua Cui · 2019 · IEEE Sensors Journal

    Cites data paper 33 citations

49. M3CV: A multi-subject, multi-session, and multi-task database for EEG-based biometrics challenge

    Gan Huang, Zhenxing Hu, Weize Chen, Shaorong Zhang, Zhen Liang, Linling Li, Li Zhang, Zhiguo Zhang · 2022 · NeuroImage

    Cites data paper 31 citations

50. A multi-day and multi-band dataset for a steady-state visual-evoked potential–based brain-computer interface

    Ga-Young Choi, Chang Hee Han, Young–Jin Jung, Han-Jeong Hwang · 2019 · GigaScience

    Cites data paper 31 citations

51. Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization

    Lichao Xu, Minpeng Xu, Zhen Ma, Kun Wang, Tzyy‐Ping Jung, Dong Ming · 2021 · Journal of Neural Engineering

    Cites data paper 29 citations

52. Hierarchical Transformer for Motor Imagery-Based Brain Computer Interface

    Permana Deny, S.H.Cheon Cheon, Hayoung Son, Kae Won Choi · 2023 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 28 citations

53. Selective Cross-Subject Transfer Learning Based on Riemannian Tangent Space for Motor Imagery Brain-Computer Interface

    Yilu Xu, Xin Huang, Quan Lan · 2021 · Frontiers in Neuroscience

    Cites data paper 28 citations

54. Spatio-Temporal Explanation of 3D-EEGNet for Motor Imagery EEG Classification Using Permutation and Saliency

    Donghyun Park, Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Sangwon Lee, Chang S. Nam, Jae‐Yoon Jung · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 27 citations

55. 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

56. Effect of a Brain–Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity

    Vivianne Flávia Cardoso, Denis Delisle-Rodríguez, Maria Alejandra Romero-Laiseca, Flávia Aparecida Loterio, Dharmendra Gurve, Alan Floriano, Carlos Valadão, Leticia Silva, Sridhar Krishnan, Anselmo Frizera, Teodiano Bastos-Filho · 2021 · Sensors

    Cites data paper 26 citations

57. Functional Connectivity Ensemble Method to Enhance BCI Performance (FUCONE)

    Marie-Constance Corsi, Sylvain Chevallier, Fabrizio De Vico Fallani, Florian Yger · 2022 · IEEE Transactions on Biomedical Engineering

    Cites data paper 26 citations

58. 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 25 citations

59. A Strong and Simple Deep Learning Baseline for BCI Motor Imagery Decoding

    Yassine El Ouahidi, Vincent Gripon, Bastien Pasdeloup, Ghaith Bouallegue, Nicolas Farrugia, Giulia Lioi · 2024 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 23 citations

60. Tangent space spatial filters for interpretable and efficient Riemannian classification

    Jiachen Xu, Moritz Grosse‐Wentrup, Vinay Jayaram · 2020 · Journal of Neural Engineering

    Cites data paper 22 citations

61. A large EEG database with users’ profile information for motor imagery brain-computer interface research

    Pauline Dreyer, Aline Roc, Léa Pillette, Sébastien Rimbert, Fabien Lotte · 2023 · Scientific Data

    Cites data paper 22 citations

62. DHCT-GAN: Improving EEG Signal Quality with a Dual-Branch Hybrid CNN–Transformer Network

    Yinan Cai, Meng Zhao, Dian Huang · 2025 · Sensors

    Cites data paper 21 citations

63. <i>Notice of Removal March 3, 2026:</i> Domain Adaptation and Generalization of Functional Medical Data: A Systematic Survey of Brain Data

    Gita Sarafraz, Armin Behnamnia, Mehran Hosseinzadeh, Ali Balapour, Amin Meghrazi, Hamid R. Rabiee · 2024 · ACM Computing Surveys

    Cites data paper 20 citations

64. Incorporating EEG and EMG Patterns to Evaluate BCI-Based Long-Term Motor Training

    Zhongpeng Wang, Beibei He, Yijie Zhou, Long Chen, Bin Gu, Shuang Liu, Minpeng Xu, Feng He, Dong Ming · 2022 · IEEE Transactions on Human-Machine Systems

    Cites data paper 20 citations

65. Deep-Learning-Based Automatic Selection of Fewest Channels for Brain–Machine Interfaces

    Hyun-Seok Kim, Min-Hee Ahn, Byoung‐Kyong Min · 2021 · IEEE Transactions on Cybernetics

    Cites data paper 19 citations

66. Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface

    Seung-Pyo Seo, Min-Ho Lee, John Williamson, Seong–Whan Lee · 2019 · n/a

    Cites data paper 19 citations

67. EEGG: An Analytic Brain-Computer Interface Algorithm

    Gang Liu, Jing Wang · 2022 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 19 citations

68. Intralobular and Interlobular Parietal Functional Network Correlated to MI-BCI Performance

    Chun‐Ren Phang, Li‐Wei Ko · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 19 citations

69. Single-Trial Kernel-Based Functional Connectivity for Enhanced Feature Extraction in Motor-Related Tasks

    Daniel Guillermo García-Murillo, Andrés Marino Álvarez-Meza, G. Castellanos-Domínguez · 2021 · Sensors

    Cites data paper 17 citations

70. Motor Imagery: A Review of Existing Techniques, Challenges and Potentials

    Olawunmi George, Roger O. Smith, Praveen Madiraju, Nasim Yahyasoltani, Sheikh Iqbal Ahamed · 2021 · n/a

    Cites data paper 17 citations

71. MBGA-Net: A multi-branch graph adaptive network for individualized motor imagery EEG classification

    Weifeng Ma, Chuanlai Wang, Xiaoyong Sun, Xuefen Lin, Lei Niu, Yuchen Wang, Yuchen Wang · 2023 · Computer Methods and Programs in Biomedicine

    Cites data paper 17 citations

72. An improved version of local activities estimation to enhance motor imagery classification

    Mohammad Mahdi Togha, Mohammad Reza Salehi, Ebrahim Abiri · 2021 · Biomedical Signal Processing and Control

    Cites data paper 17 citations

73. Deep Learning Methods in Electroencephalography

    Krzysztof Kotowski, Katarzyna Stąpor, Jeremi K. Ochab · 2020 · Learning and analytics in intelligent systems

    Cites data paper 16 citations

74. Euler common spatial patterns for EEG classification

    Jing Sun, Mengting Wei, Ning Luo, Zhanli Li, Haixian Wang · 2022 · Medical & Biological Engineering & Computing

    Cites data paper 16 citations

75. Visual and haptic feedback in detecting motor imagery within a wearable brain–computer interface

    Pasquale Arpaïa, Damien Coyle, Francesco Donnarumma, Antonio Espósito, Angela Natalizio, Marco Parvis · 2022 · Measurement

    Cites data paper 16 citations

76. SCDAN: Learning Common Feature Representation of Brain Activation for Intersubject Motor Imagery EEG Decoding

    Boxun Fu, Fu Li, Youshuo Ji, Yang Li, Xuemei Xie, Guangming Shi · 2023 · IEEE Transactions on Instrumentation and Measurement

    Cites data paper 16 citations

77. A Systematic Review of Techniques for Artifact Detection and Artifact Category Identification in Electroencephalography from Wearable Devices

    Pasquale Arpaia, Matteo de Luca, Lucrezia Di Marino, D. Duran, L. Gargiulo, P. Lanteri, Nicola Moccaldi, Marco Nalin, Mauro Picciafuoco, R. Robbio, E. Visani · 2025 · Sensors (Basel, Switzerland)

    Cites data paper 16 citations

78. Deep Autoencoder for Real-Time Single-Channel EEG Cleaning and Its Smartphone Implementation Using TensorFlow Lite With Hardware/Software Acceleration

    Le Xing, Alexander J. Casson · 2024 · IEEE Transactions on Biomedical Engineering

    Cites data paper 15 citations

79. Paving the Way for Motor Imagery-Based Tele-Rehabilitation through a Fully Wearable BCI System

    Pasquale Arpaïa, Damien Coyle, Antonio Espósito, Angela Natalizio, Marco Parvis, Marisa Pesola, Ersilia Vallefuoco · 2023 · Sensors

    Cites data paper 15 citations

80. Supervised Contrastive Learning-Based Domain Generalization Network for Cross-Subject Motor Decoding

    Hongyi Zhi, Tianyou Yu, Zhenghui Gu, Zhuobin Lin, Le Che, Yuanqing Li, Zhuliang Yu · 2024 · IEEE Transactions on Biomedical Engineering

    Cites data paper 15 citations

81. MetaBCI: An open-source platform for brain–computer interfaces

    Jie Mei, Ruixin Luo, Lichao Xu, Wei Zhao, Shengfu Wen, Kun Wang, Xiaolin Xiao, Jiayuan Meng, Yongzhi Huang, Jiabei Tang, Longlong Cheng, Minpeng Xu, Dong Ming · 2023 · Computers in Biology and Medicine

    Cites data paper 15 citations

82. Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces

    Valentina Gamboa von Groll, Nikki Leeuwis, Sébastien Rimbert, Aline Roc, Léa Pillette, Fabien Lotte, Maryam Alimardani · 2024 · Brain-Computer Interfaces

    Cites data paper 15 citations

83. Flexible Patched Brain Transformer model for EEG decoding

    Timon Klein, Piotr Minakowski, Sebastian Sager · 2025 · Scientific Reports

    Cites data paper 15 citations

84. Lower limb motor imagery EEG dataset based on the multi-paradigm and longitudinal-training of stroke patients

    Yuan Liu, Zhuolan Gui, De Yan, Zhuang Wang, Ruisi Gao, Ningxin Han, Junying Chen, Jialing Wu, Dong Ming · 2025 · Scientific Data

    Cites data paper 15 citations

85. Multi-Source geometric metric transfer learning for EEG classification

    Xianxiong Zhang, Qingshan She, Tongcai Tan, Yunyuan Gao, Yuliang Ma, Jianhai Zhang · 2022 · Biomedical Signal Processing and Control

    Cites data paper 14 citations

86. EEG-Based Feature Classification Combining 3D-Convolutional Neural Networks with Generative Adversarial Networks for Motor Imagery

    Chengcheng Fan, Banghua Yang, Xiaoou Li, Shouwei Gao, Peng Zan · 2024 · Journal of Integrative Neuroscience

    Cites data paper 14 citations

87. Transferring Common Spatial Filters With Semi-Supervised Learning for Zero-Training Motor Imagery Brain-Computer Interface

    Xianghong Zhao, Jieyu Zhao, Weiming Cai, Shuangqing Wu · 2019 · IEEE Access

    Cites data paper 14 citations

88. The Promise of Deep Learning for BCIs: Classification of Motor Imagery EEG using Convolutional Neural Network

    Navneet Tibrewal, Nikki Leeuwis, Maryam Alimardani · 2021 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites data paper 14 citations

89. Temporal-frequency-phase feature classification using 3D-convolutional neural networks for motor imagery and movement

    Chengcheng Fan, Banghua Yang, Xiaoou Li, Peng Zan · 2023 · Frontiers in Neuroscience

    Cites data paper 8 citations

90. A large electroencephalogram database of freewill reaching and grasping tasks for brain machine interfaces

    Bhoj Raj Thapa, John F. Boggess, Jihye Bae · 2025 · Scientific Data

    Cites data paper 1 citations

91. Cross-domain Spatio-temporal and Multi-scale Residual Attention Mechanisms for Robust EEG Motor Imagery Classification

    Sathish Mathiyazhagan, M. S. Geetha Devasena · 2025 · International Journal of Computational Intelligence Systems

    Cites data paper 1 citations

92. Motor Imagery dataset from Cho et al 2017

    Hohyun Cho, Minkyu Ahn, Sangtae Ahn, Moonyoung Kwon, Sung Chan Jun · 2026 · Open MIND

    Cites data paper

93. Mind Controlled Bionic Arm with Sense of Touch [8 class version] v1

    Dhruva Shaw, Arittrabha Sengupta, Jay Baswaraj Khaple, Bhavya Choudhary, Raam Dheep · 2024 · n/a

    Cites data paper

No citations of that kind for this dataset.