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BNCI 2015-001 Motor Imagery dataset

nm000140 · 95 high-confidence citations

1. A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update

   Fabien Lotte, Laurent Bougrain, Andrzej Cichocki, Maureen Clerc, Marco Congedo, Alain Rakotomamonjy, Florian Yger · 2018 · Journal of Neural Engineering

   Cites data paper 2,115 citations

2. Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design

   Fabien Lotte, Florian Larrue, Christian Mühl · 2013 · Frontiers in Human Neuroscience

   Cites data paper 296 citations

3. Review of Machine Learning Techniques for EEG Based Brain Computer Interface

   Swati Aggarwal, Nupur Chugh · 2022 · Archives of Computational Methods in Engineering

   Cites data paper 254 citations

4. MOABB: trustworthy algorithm benchmarking for BCIs

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

   Cites data paper 232 citations

5. Brain-computer interface technologies: from signal to action

   Alexis Ortiz-Rosario, Hojjat Adeli · 2013 · Reviews in the Neurosciences

   Cites data paper 212 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 Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface

   Amardeep Singh, Ali Abdul Hussain, Sunil Pranit Lal, Hans W. Guesgen · 2021 · Sensors

   Cites data paper 176 citations

8. FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing

   Ian Daly, Reinhold Scherer, Martin Billinger, Gernot Müller-Putz · 2014 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

   Cites data paper 175 citations

9. Transferring brain–computer interfaces beyond the laboratory: Successful application control for motor-disabled users

   Robert Leeb, Serafeim Perdikis, Luca Tonin, Andrea Biasiucci, Michele Tavella, Marco Creatura, Alberto García‐Molina, Abdul Al-Khodairy, Tom Carlson, José del R. Millán · 2013 · Artificial Intelligence in Medicine

   Cites data paper 166 citations

10. The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

    Serafeim Perdikis, Luca Tonin, Sareh Saeedi, Christoph Schneider, José del R. Millán · 2018 · PLoS Biology

    Cites data paper 164 citations

11. Electroencephalography

    Gernot Müller-Putz · 2020 · Handbook of clinical neurology

    Cites data paper 158 citations

12. Decoding natural reach-and-grasp actions from human EEG

    Andreas Schwarz, Patrick Ofner, Joana Pereira, Andreea Ioana Sburlea, Gernot Müller-Putz · 2017 · Journal of Neural Engineering

    Cites data paper 146 citations

13. Detection of motor imagery EEG signals employing Naïve Bayes based learning process

    Siuly Siuly, Hua Wang, Yanchun Zhang · 2016 · Measurement

    Cites data paper 134 citations

14. The hybrid BCI system for movement control by combining motor imagery and moving onset visual evoked potential

    Teng Ma, Hui Li, Lili Deng, Hao Yang, Xulin Lv, Peiyang Li, Fali Li, Rui Zhang, Tiejun Liu, Dezhong Yao, Peng Xu · 2017 · Journal of Neural Engineering

    Cites data paper 126 citations

15. Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier

    David Steyrl, Reinhold Scherer, Josef Faller, Gernot Müller-Putz · 2016 · Biomedizinische Technik/Biomedical Engineering

    Cites data paper 125 citations

16. A Self-Adaptive Online Brain–Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System

    Javier Andreu-Pérez, Fan Cao, Hani Hagras, Guang‐Zhong Yang · 2016 · IEEE Transactions on Fuzzy Systems

    Cites data paper 109 citations

17. A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

    Claudia Sannelli, Carmen Vidaurre, Klaus‐Robert Müller, Benjamin Blankertz · 2019 · PLoS ONE

    Cites data paper 105 citations

18. On the control of brain-computer interfaces by users with cerebral palsy

    Ian Daly, Martin Billinger, José Laparra-Hernández, Fabio Aloise, Mariano Lloria García, Josef Faller, Reinhold Scherer, Gernot Müller-Putz · 2013 · Clinical Neurophysiology

    Cites data paper 101 citations

19. SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG

    Reinmar J. Kobler, J. Hirayama, Qibin Zhao, M. Kawanabe · 2022 · ArXiv

    Cites data paper 90 citations

20. Brain-Machine Interfaces: A Tale of Two Learners

    Serafeim Perdikis, José del R. Millán · 2020 · IEEE Systems Man and Cybernetics Magazine

    Cites data paper 84 citations

21. Individually Adapted Imagery Improves Brain-Computer Interface Performance in End-Users with Disability

    Reinhold Scherer, Josef Faller, Elisabeth V. C. Friedrich, Eloy Opisso, Úrsula Costa, Andrea Kübler, Gernot Müller-Putz · 2015 · PLoS ONE

    Cites data paper 79 citations

22. From classic motor imagery to complex movement intention decoding

    Gernot Müller-Putz, Andreas Schwarz, Joana Pereira, Patrick Ofner · 2016 · Progress in brain research

    Cites data paper 78 citations

23. A SINGLE-SWITCH BCI BASED ON PASSIVE AND IMAGINED MOVEMENTS: TOWARD RESTORING COMMUNICATION IN MINIMALLY CONSCIOUS PATIENTS

    Gernot Müller-Putz, Christoph Pokorny, Daniela Klobassa, Petar Horki · 2012 · International Journal of Neural Systems

    Cites data paper 76 citations

24. On the Automated Removal of Artifacts Related to Head Movement From the EEG

    Ian Daly, Martin Billinger, Reinhold Scherer, Gernot Müller-Putz · 2013 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 76 citations

25. Privacy-Preserving Domain Adaptation for Motor Imagery-Based Brain-Computer Interfaces

    Kun Xia, Lingfei Deng, Wlodzislaw Duch, Dongrui Wu · 2022 · IEEE Transactions on Biomedical Engineering

    Cites data paper 67 citations

26. 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

27. A novel channel selection method for optimal classification in different motor imagery BCI paradigms

    Haijun Shan, Haojie Xu, Shanan Zhu, Bin He · 2015 · BioMedical Engineering OnLine

    Cites data paper 61 citations

28. EFFICIENT AUTOMATIC SELECTION AND COMBINATION OF EEG FEATURES IN LEAST SQUARES CLASSIFIERS FOR MOTOR IMAGERY BRAIN–COMPUTER INTERFACES

    Germán Rodríguez-Bermúdez, Pedro J. García-Laencina, Joaquín Roca‐Dorda · 2013 · International Journal of Neural Systems

    Cites data paper 60 citations

29. 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

30. A Paradigm to Enhance Motor Imagery Using Rubber Hand Illusion Induced by Visuo-Tactile Stimulus

    Minsu Song, Jonghyun Kim · 2019 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 57 citations

31. Ensembles of adaptive spatial filters increase BCI performance: an online evaluation

    Claudia Sannelli, Carmen Vidaurre, Klaus‐Robert Müller, Benjamin Blankertz · 2016 · Journal of Neural Engineering

    Cites data paper 56 citations

32. Tactile Stimulation Improves Sensorimotor Rhythm-Based BCI Performance in Stroke Patients

    Xiaokang Shu, Shugeng Chen, Jianjun Meng, Lin Yao, Xinjun Sheng, Jie Jia, Dario Farina, Xiangyang Zhu · 2018 · IEEE Transactions on Biomedical Engineering

    Cites data paper 56 citations

33. Control or non-control state: that is the question! An asynchronous visual P300-based BCI approach

    Andreas Pinegger, Josef Faller, Sebastian Halder, Selina C. Wriessnegger, Gernot Müller-Putz · 2015 · Journal of Neural Engineering

    Cites data paper 55 citations

34. A Co-Adaptive Brain-Computer Interface for End Users with Severe Motor Impairment

    Josef Faller, Reinhold Scherer, Úrsula Costa, Eloy Opisso, Josep R. Medina, Gernot Müller-Putz · 2014 · PLoS ONE

    Cites data paper 55 citations

35. A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs

    Omneya Attallah, Jaidaa Abougharbia, Mohamed Tamazin, A.A.A. Nasser · 2020 · Brain Sciences

    Cites data paper 55 citations

36. 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

37. A Long Short-Term Memory Network for Sparse Spatiotemporal EEG Source Imaging

    Joyce Chelangat Bore, Peiyang Li, Lin Jiang, Walid M. A. Ayedh, Chunli Chen, Dennis Joe Harmah, Dezhong Yao, Zehong Cao, Peng Xu · 2021 · IEEE Transactions on Medical Imaging

    Cites data paper 49 citations

38. Context-aware adaptive spelling in motor imagery BCI

    Serafeim Perdikis, R. Leeb, José del R. Millán · 2016 · Journal of Neural Engineering

    Cites data paper 47 citations

39. Novel hybrid brain–computer interface system based on motor imagery and P300

    Cili Zuo, Jing Jin, Erwei Yin, Rami Saab, Yangyang Miao, Xingyu Wang, Dewen Hu, Andrzej Cichocki · 2019 · Cognitive Neurodynamics

    Cites data paper 46 citations

40. 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

41. Thought-based row-column scanning communication board for individuals with cerebral palsy

    Reinhold Scherer, Martin Billinger, Johanna Wagner, Andreas Schwarz, Dirk Tassilo Hettich, Elaina Bolinger, Mariano Lloria García, Juan José Navarro, Gernot Müller-Putz · 2015 · Annals of Physical and Rehabilitation Medicine

    Cites data paper 45 citations

42. Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future

    Jane E. Huggins, Christoph Guger, Brendan Z. Allison, Charles W. Anderson, Aaron P. Batista, Anne-Marie Brouwer, Clemens Brunner, Ricardo Chavarriaga, Melanie Fried‐Oken, Aysegul Gunduz, Disha Gupta, Andrea Kübler, Robert Leeb, Fabien Lotte, Lee E. Miller, Gernot Müller-Putz, Tomasz M. Rutkowski, Michael Tangermann, David E. Thompson · 2014 · Brain-Computer Interfaces

    Cites data paper 42 citations

43. Enhancing sensorimotor BCI performance with assistive afferent activity: An online evaluation

    Carmen Vidaurre, A. Ramos Murguialday, Stefan Haufe, Marisol Gómez, K. Müller, Vadim V. Nikulin · 2019 · NeuroImage

    Cites data paper 42 citations

44. The largest EEG-based BCI reproducibility study for open science: the MOABB benchmark

    Sylvain Chevallier, Igor Carrara, Bruno Aristimunha, Pierre Guetschel, Sara Sedlar, Bruna J. Lopes, Sébastien Velut, Salim Khazem, Thomas Moreau · 2024 · ArXiv

    Cites data paper 42 citations

45. Lateralization patterns of covert but not overt movements change with age: An EEG neurofeedback study

    Catharina Zich, Stefan Debener, Maarten De Vos, Stella Frerichs, Stefanie Maurer, Cornelia Kranczioch · 2015 · NeuroImage

    Cites data paper 38 citations

46. 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

47. Brisk heart rate and EEG changes during execution and withholding of cue-paced foot motor imagery

    Gert Pfurtscheller, Teodoro Solis‐Escalante, Robert J. Barry, Daniela Klobassa, Christa Neuper, Gernot Müller-Putz · 2013 · Frontiers in Human Neuroscience

    Cites data paper 37 citations

48. Calibrating EEG features in motor imagery classification tasks with a small amount of current data using multisource fusion transfer learning

    Yong Liang, Yu Ma · 2020 · Biomedical Signal Processing and Control

    Cites data paper 36 citations

49. CSP-Net: Common spatial pattern empowered neural networks for EEG-based motor imagery classification

    Xue Jiang, Lubin Meng, Xinru Chen, Yifan Xu, Dongrui Wu · 2024 · Knowledge-Based Systems

    Cites data paper 36 citations

50. Transfer Learning Based on Optimal Transport for Motor Imagery Brain-Computer Interfaces

    Victoria Peterson, Nicolás Nieto, Dominik Wyser, Olivier Lambercy, Roger Gassert, Diego H. Milone, Rubén D. Spies · 2021 · IEEE Transactions on Biomedical Engineering

    Cites data paper 35 citations

51. On the Use of Games for Noninvasive EEG-Based Functional Brain Mapping

    Reinhold Scherer, Gunter Moitzi, Ian Daly, Gernot Müller-Putz · 2013 · IEEE Transactions on Computational Intelligence and AI in Games

    Cites data paper 33 citations

52. Co-adaptive Training Improves Efficacy of a Multi-Day EEG-Based Motor Imagery BCI Training

    Amjad Abu-Rmileh, Eyal Zakkay, Lior Shmuelof, Oren Shriki · 2019 · Frontiers in Human Neuroscience

    Cites data paper 33 citations

53. Lightweight Source-Free Transfer for Privacy-Preserving Motor Imagery Classification

    Wen Zhang, Dongrui Wu · 2022 · IEEE Transactions on Cognitive and Developmental Systems

    Cites data paper 33 citations

54. Non motor tasks improve adaptive brain-computer interface performance in users with severe motor impairment

    Josef Faller, Reinhold Scherer, Elisabeth V. C. Friedrich, Úrsula Costa, Eloy Opisso, Josep R. Medina, Gernot R. Müller-Putz · 2014 · Frontiers in Neuroscience

    Cites data paper 32 citations

55. Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control

    Ian Daly, Josef Faller, Reinhold Scherer, Catherine M. Sweeney‐Reed, Slawomir J. Nasuto, Martin Billinger, Gernot R. Müller-Putz · 2014 · Frontiers in Neuroengineering

    Cites data paper 31 citations

56. 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

57. A co-adaptive sensory motor rhythms Brain-Computer Interface based on common spatial patterns and Random Forest

    Andreas Schwarz, Reinhold Scherer, David Steyrl, Josef Faller, Gernot Müller-Putz · 2015 · n/a

    Cites data paper 29 citations

58. 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 29 citations

59. Brain-Computer Interfaces

    Jane E. Huggins, C. Guger, Brendan Allison, C. Anderson, A. Batista, A. Brouwer, C. Brunner, Ricardo Chavarriaga, M. Fried-Oken, Aysegul Gunduz, D. Gupta, A. Kübler, R. Leeb, F. Lotte, L. E. Miller, Gernot R. Müller-Putz, Tomasz Rutkowski, M. Tangermann, David E. Thompson · 2020 · Handbook of Clinical Neurology

    Cites data paper 29 citations

60. Motor imagery based brain–computer interfaces

    Reinhold Scherer, Carmen Vidaurre · 2018 · Elsevier eBooks

    Cites data paper 28 citations

61. Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation between humans and machines for BCI

    Chuong Hoang Nguyen, George K. Karavas, Panagiotis Artemiadis · 2019 · PLoS ONE

    Cites data paper 28 citations

62. Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals

    Lincong Pan, Kun Wang, Lichao Xu, Xinwei Sun, Weibo Yi, Minpeng Xu, Dong Ming · 2023 · Journal of Neural Engineering

    Cites data paper 27 citations

63. EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibration

    Denis Delisle-Rodríguez, Leticia Silva, Teodiano Bastos-Filho · 2023 · Journal of Neural Engineering

    Cites data paper 27 citations

64. Exploiting Task Constraints for Self-Calibrated Brain-Machine Interface Control Using Error-Related Potentials

    Iñaki Iturrate, Jonathan Grizou, Jason Omedes, Pierre‐Yves Oudeyer, Manuel Lopes, Luis Montesano · 2015 · PLoS ONE

    Cites data paper 26 citations

65. Towards Brain Computer Interfaces for Recreational Activities: Piloting a Drone

    Nataliya Kosmyna, Franck Tarpin-Bernard, Bertrand Rivet · 2015 · Lecture notes in computer science

    Cites data paper 24 citations

66. An Online Data Visualization Feedback Protocol for Motor Imagery-Based BCI Training

    Xu Duan, Songyun Xie, Xinzhou Xie, Klaus Obermayer, Yujie Cui, Zhenzhen Wang · 2021 · Frontiers in Human Neuroscience

    Cites data paper 24 citations

67. MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification

    Phairot Autthasan, Rattanaphon Chaisaen, Huy Phan, Maarten De Vos, Theerawit Wilaiprasitporn · 2024 · IEEE Internet of Things Journal

    Cites data paper 23 citations

68. EEG-Based BCI System Using Adaptive Features Extraction and Classification Procedures

    Valeria Mondini, Anna Lisa Mangia, Angelo Cappello · 2016 · Computational Intelligence and Neuroscience

    Cites data paper 22 citations

69. Classification of motor imagery performance in acute stroke

    Chayanin Tangwiriyasakul, Victor Mocioiu, Michel J. A. M. van Putten, Wim Rutten · 2014 · Journal of Neural Engineering

    Cites data paper 21 citations

70. Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain–Computer Interface for Decoding Imagined Syllables

    Shizhe Wu, Kinkini Bhadra, Anne‐Lise Giraud, Silvia Marchesotti · 2024 · Brain Sciences

    Cites data paper 21 citations

71. 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

72. Neural correlates of user learning during long-term BCI training for the Cybathlon competition

    Stefano Tortora, Gloria Beraldo, Francesco Bettella, Emanuela Formaggio, Maria Rubega, Alessandra Del Felice, Stefano Masiero, Ruggero Carli, Nicola Petrone, Emanuele Menegatti, Luca Tonin · 2022 · Journal of NeuroEngineering and Rehabilitation

    Cites data paper 21 citations

73. Restricted Boltzmann Machines in Sensory Motor Rhythm Brain-Computer Interfacing: A study on inter-subject transfer and co-adaptation

    Reinmar J. Kobler, Reinhold Scherer · 2016 · n/a

    Cites data paper 20 citations

74. Single-session tDCS over the dominant hemisphere affects contralateral spectral EEG power, but does not enhance neurofeedback-guided event-related desynchronization of the non-dominant hemisphere's sensorimotor rhythm

    Valeria Mondini, Anna Lisa Mangia, Angelo Cappello · 2018 · PLoS ONE

    Cites data paper 19 citations

75. Dimensionality Transcending: A Method for Merging BCI Datasets With Different Dimensionalities

    Pedro Luiz Coelho Rodrigues, Marco Congedo, Christian Jutten · 2020 · IEEE Transactions on Biomedical Engineering

    Cites data paper 19 citations

76. Transfer Learning for SSVEP-based BCI Using Riemannian Similarities Between Users

    Emmanuel Kalunga, Sylvain Chevallier, Quentin Barthélemy · 2018 · 2018 26th European Signal Processing Conference (EUSIPCO)

    Cites data paper 19 citations

77. Subdomain Adversarial Network for Motor Imagery EEG Classification Using Graph Data

    Xingchen Li, Xianlun Tang, Sichao Qiu, Xin Deng, Huiming Wang, Yin Tian · 2023 · IEEE Transactions on Emerging Topics in Computational Intelligence

    Cites data paper 18 citations

78. Pseudo-online framework for BCI evaluation: a MOABB perspective using various MI and SSVEP datasets

    Igor Carrara, Théodore Papadopoulo · 2023 · Journal of Neural Engineering

    Cites data paper 18 citations

79. Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces

    Tianwang Jia, Lubin Meng, Siyang Li, Jiajing Liu, Dongrui Wu · 2024 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 17 citations

80. Post-Adaptation Effects in a Motor Imagery Brain-Computer Interface Online Coadaptive Paradigm

    Jose Diogo Cunha, Serafeim Perdikis, Sebastian Halder, Reinhold Scherer · 2021 · IEEE Access

    Cites data paper 16 citations

81. Perturbation-evoked potentials can be classified from single-trial EEG

    Jonas C. Ditz, Andreas Schwarz, Gernot Müller-Putz · 2020 · Journal of Neural Engineering

    Cites data paper 16 citations

82. Exploration of neural correlates of movement intention based on characterisation of temporal dependencies in electroencephalography

    Maitreyee Wairagkar, Yoshikatsu Hayashi, Slawomir J. Nasuto · 2018 · PLoS ONE

    Cites data paper 15 citations

83. Direct comparison of supervised and semi-supervised retraining approaches for co-adaptive BCIs

    Andreas Schwarz, Julia Brandstetter, Joana Pereira, Gernot Müller-Putz · 2019 · Medical & Biological Engineering & Computing

    Cites data paper 15 citations

84. Enhancing Motor Imagery Electroencephalography Classification with a Correlation-Optimized Weighted Stacking Ensemble Model

    Hossein Ahmadi, Luca Mesin · 2024 · Electronics

    Cites data paper 14 citations

85. Enhancing MI EEG Signal Classification With a Novel Weighted and Stacked Adaptive Integrated Ensemble Model: A Multi-Dataset Approach

    Hossein Ahmadi, Luca Mesin · 2024 · IEEE Access

    Cites data paper 14 citations

86. Game-Based BCI Training: Interactive Design for Individuals with Cerebral Palsy

    Reinhold Scherer, Andreas Schwarz, Gernot Müller-Putz, Viktoria Pammer‐Schindler, Mariano Lloria García · 2015 · n/a

    Cites data paper 14 citations

87. Random Forests for Feature Selection in Non-invasive Brain-Computer Interfacing

    David Steyrl, Reinhold Scherer, Gernot Müller-Putz · 2013 · Lecture notes in computer science

    Cites data paper 13 citations

88. Classification of BCI-EEG Based on the Augmented Covariance Matrix

    Igor Carrara, Théodore Papadopoulo · 2024 · IEEE Transactions on Biomedical Engineering

    Cites data paper 13 citations

89. Quantifying Electrode Reliability During Brain–Computer Interface Operation

    Hesam Sagha, Serafeim Perdikis, José del R. Millán, Ricardo Chavarriaga · 2014 · IEEE Transactions on Biomedical Engineering

    Cites data paper 12 citations

90. Lets play Tic-Tac-Toe: A Brain-Computer Interface case study in cerebral palsy

    Reinhold Scherer, Andreas Schwarz, Gernot Müller-Putz, Viktoria Pammer‐Schindler, Mariano Lloria García · 2016 · n/a

    Cites data paper 12 citations

91. [Human factors engineering of brain-computer interface and its applications: Human-centered brain-computer interface design and evaluation methodology].

    Xiaotong Lu, Peng Ding, Siyu Li, Anmin Gong, Lei Zhao, Qian Qian, Lei Su, Yunfa Fu · 2021 · PubMed

    Cites data paper 12 citations

92. Selective Multi-Source Domain Adaptation Network for Cross-Subject Motor Imagery Discrimination

    Juho Lee, Jin Woo Choi, Su-Cheol Jo · 2024 · IEEE Transactions on Cognitive and Developmental Systems

    Cites data paper 12 citations

93. Combining frequency and time-domain EEG features for classification of self-paced reach-and-grasp actions

    Andreas Schwarz, Joana Pereira, Lydia Lindner, Gernot Müller-Putz · 2019 · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    Cites data paper 11 citations

94. EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success?

    Reinhold Scherer, Josef Faller, Paul Sajda, Carmen Vidaurre · 2018 · 2018 10th Computer Science and Electronic Engineering (CEEC)

    Cites data paper 10 citations

95. Improving direction decoding accuracy during online motor imagery based brain-computer interface using error-related potentials

    Praveen K. Parashiva, A. P. Vinod · 2022 · Biomedical Signal Processing and Control

    Cites data paper 10 citations

No citations of that kind for this dataset.