A fully on-line adaptive BCI

Vidaurre, C., Schloogl, A., Cabeza, R., Scherer, R., Pfurtscheller, G.·2006·IEEE Transactions on Biomedical Engineering

Cited by (195)

Items 101–195 of 195

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  3. A Framework of Adaptive Brain Computer Interfaces
    Yan Hei Martin Li, Yasuharu Koike, Masashi Sugiyama · 2009 · International Conference on Biomedical Engineering and Informatics (BMEI)
  4. Towards a symbiotic brain–computer interface: exploring the application–decoder interaction
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  5. Post-Adaptation Effects in a Motor Imagery Brain-Computer Interface Online Coadaptive Paradigm
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  6. Decoding personalized motor cortical excitability states from human electroencephalography
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  7. A Concept for Extending the Applicability of Constraint-Induced Movement Therapy through Motor Cortex Activity Feedback Using a Neural Prosthesis
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  9. An incremental framework for classification of EEG signals using quantum particle swarm optimization
    Kaveh Hassani, Won‐Sook Lee · 2014 · IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
  10. Directional Intention Identification for Running Control of an Omnidirectional Walker
    Yinlai Jiang, Shuoyu Wang, Kenji Ishida, Takeshi Ando, Masakatsu G. Fujie · 2010 · Journal of Advanced Computational Intelligence and Intelligent Informatics
  11. Incremental Adaptive EEG Classification of Motor Imagery-based BCI
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  12. EEG-based Endogenous Online Co-Adaptive Brain-Computer Interfaces: Strategy for Success?
    Reinhold Scherer, Josef Faller, Paul Sajda, Carmen Vidaurre · 2018 · Computer Science and Electronic Engineering Conference
  13. A Study on Application of Reliability Based Automatic Repeat Request to Brain Computer Interfaces
    Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi · 2009 · Lecture notes in computer science
  14. An on-line BCI for control of hand grasp sequence and holding using adaptive probabilistic neural network
    Mehrnaz Kh. Hazrati, Abbas Erfanian · 2008 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  15. Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing
    Ji Won Yoon, Stephen Roberts, Dyson M, John Q. Gan · 2011 · Neural Networks
  16. Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface
    Haider Raza, Hubert Cecotti, Yuhua Li, Girijesh Prasad · 2015 · International Joint Conference on Neural Networks (IJCNN)
  17. Online extraction and single trial analysis of regions contributing to erroneous feedback detection
    Dyson M, Eoin M. Thomas, Laurence Anne Casini, Borı́s Burle · 2015 · NeuroImage
  18. Brain–Computer Interfacing
    Saeid Sanei, Jonathon A. Chambers · 2007
  19. Corrigendum: Classification of binary intentions for individuals with impaired oculomotor function: ‘eyes-closed’ SSVEP-based brain–computer interface
    Jeong‐Hwan Lim, Han‐Jeong Hwang, Chang Hee Han, Ki-Young Jung, Chang‐Hwan Im · 2013 · Journal of Neural Engineering
  20. An Adaptive Brain-Computer Interface Game with Blink Controls and Cognitive State Monitoring
    Saravanakumar Duraisamy, Nick Roeser, Mateusz Dubiel, Luis A. Leiva · 2025 · ACM International Conference on Intelligent User Interfaces (IUI)
  21. Finding the Optimal Cross-Subject EEG Data Alignment Method for Analysis and BCI
    Nima Bigdely-Shamlo, Gabriel Ibagon, Christian Andreas Kothe, Tim R. Mullen · 2018 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  22. Is the Future of Authenticity All In Our Heads?
    Nick Merrill, Max T. Curran, John Chung-I Chuang · 2017 · New Security Paradigms Workshop
  23. Multiclass brain computer interface based on visual attention.
    Rolando Grave de Peralta Menéndez, Jorge M.M. Dias, José Prado, Hadi Aliakbarpour, Sara L. Gonzalez Andino · 2009 · The European Symposium on Artificial Neural Networks
  24. Action Games, Motor Imagery, and Control Strategies: Toward a Multi-button Controller
    Damien Coyle, Jacqueline Stow, Karl A. McCreadie, Chen Li, Jhonatan Garcia, Jacinta M. McElligott, Áine M. Carroll · 2015 · Springer eBooks
  25. Noninvasive Brain Machine Interfaces for Assistive and Rehabilitation Robotics
    Giuseppe Lisi, Jun Morimoto · 2016 · Elsevier eBooks
  26. Feature Extracted Classifiers Based on EEG Signals: A Survey
    Faris Abuhashish, Mohd Shahrizal Sunar, Hoshang Kolivand, Farhan Mohamed, Dzulkifli Mohamad · 2014
  27. Variability and Nonstationarity in Brain Computer Interfaces
    Linsey Roijendijk · 2009
  28. Online co-adaptive brain-computer interfacing: Preliminary results in individuals with spinal cord injury
    Josef Faller, Teodoro Solis‐Escalante, U. Costa, Eloy Opisso, J. Medina, Reinhold Scherer, Gernot R Muller-Putz · 2013 · International IEEE/EMBS Conference on Neural Engineering
  29. Efficient human-machine control with asymmetric marginal reliability input devices
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  30. An Adaptive And Efficient Spatial Filter For Event-Related Potentials
    Foad Ghaderi, Sirko Straube · 2013 · Zenodo (CERN European Organization for Nuclear Research)
  31. A General Framework of Brain-Computer Interface with Visualization and Virtual Reality Feedback
    Gufei Sun, Kuangda Li, Xiaoqiang Li, Bofeng Zhang, Shizhong Yuan, Gengfeng Wu · 2009 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
  32. Non-Manual Control Devices
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  34. Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessions
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  35. Adaptive Riemannian BCI for Enhanced Motor Imagery Training Protocols
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  36. Real-Time Brain-Computer Interface System Based on Motor Imagery
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  37. An adaptive BCI system for virtual navigation
    Fan Yang, Weidong Chen, Bian Wu, Yu Qi, Jianxun Luo, Yu Su, Jianhua Dai, Xiaoxiang Zheng · 2010 · International Conference on Information Science and Engineering
  38. An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface
    Teng Ma, Fali Li, Peiyang Li, Dezhong Yao, Yangsong Zhang, Peng Xu · 2018 · Computational and Mathematical Methods in Medicine
  39. Adaptive Brain-computer Interfacing through Error-related Potential Detection
    Timothy J. Zeyl · 2016 · TSpace (University of Toronto)
  40. Classifying EEG Using Incremental Support Vector Machine in BCIs
    Xiaoming Zheng, Banghua Yang, Xiang Li, Peng Zan, Dong Zheng · 2010 · Lecture notes in computer science
  41. Learning from feedback training data at a self-paced brain–computer interface
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  42. Phonetic Control: A new Approach for Continuous, Non-invasive Device Control Using the Vocal Tract
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  43. Multiclass self-paced motor imagery temporal features classification using least-square support vector machine
    Mahyar Hamedi, Sh-H. Salleh, Chee‐Ming Ting, A. B. Mohd Noor, Iman Mohammad Rezazadeh · 2014 · Annual Conference of the International Functional Electrical Stimulation Society (IFESS)
  44. Error probability of intracranial brain computer interfaces under non-task elicited brain states
    Aldemar Torres, Pavel Paclı́k, Mariska J. Vansteensel, Erik J. Aarnoutse, Nick F. Ramsey · 2012 · Clinical Neurophysiology
  45. An Auto-Adaptive Approach Towards Subject-Independent Motor Imagery BCI
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  46. Towards electroencephalography-based consciousness assessment and cognitive function profiling in prolonged disorders of consciousness
    Damien Coyle, Attila Korik, Naomi du Bois, Stephanie J. Hodge, Leah Hudson, Ainjila Elahi, Alain Desire Bigirimana, Natalie Dayan, Alison McCann, Kudret Yelden et al. · 2022 · Research Square
  47. Introduction
    Muskan Jindal, Eshan Bajal, Areeba Kazim · 2023 · Wiley eBooks
  48. Turning motor intentions into words: an MRCP-based BCI speller for motor-impaired users enhanced by task-specific calibration
    Patrick Suwandjieff, Markus R. Crell, Kyriaki Kostoglou, Gernot R Muller-Putz · 2026 · Journal of Neural Engineering
  49. Study of User Training Methods Using Onomatopoeia in Brain Computer Interfaces Based on Mental Imagery
    Reo Hirano, Keita Watanabe · 2023 · ACM Symposium on Virtual Reality Software and Technology (VRST)
  50. Towards Calibration-Less BCI-Based Rehabilitation
    Mushfika Sultana, Christoph Reichert, Catherine M. Sweeney‐Reed, Serafeim Perdikis · 2023 · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
  51. Towards Adaptive Classification of Motor Imagery EEG Using Biomimetic Pattern Recognition
    Yanbin Ge, Yan Xiang Wu · 2012 · Lecture notes in computer science
  52. EEG-Based Classification of Brain Activity for Brightness Stimuli
    Qi Zhang · 2009 · Lecture notes in computer science
  53. Error Control for Performance Improvement of Brain-Computer Interface: Reliability-Based Automatic Repeat Request
    Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi · 2011 · IEICE Transactions on Information and Systems
  54. Fractals properties of EEG during event-related desynchronization of motor imagery
    Ngoc Quang Nguyen, Quang Dang Khoa Truong, Toshiyuki Kondo · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  55. Improving the Efficacy of Ipsilesional Brain-Computer Interface Training in Neurorehabilitation of Chronic Stroke
    Surjo Raphael Soekadar, Niels Birbaumer · 2014 · Biosystems & biorobotics
  56. Brain–Computer Interfacing
    Saeid Sanei · 2013
  57. Adaptive LDA classifier enhances real-time control of an EEG Brain-computer interface for imagined-speech decoding
    Shizhe Wu, Kinkini Bhadra, Anne‐Lise Giraud, Silvia Marchesotti · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  58. Advancing EEG-based assessment of consciousness and cognition in prolonged disorders of consciousness
    Naomi du Bois, Attila Korik, Stephanie J. Hodge, Leah Hudson, Ainjila Elahi, Alain Desire Bigirimana, Natalie Dayan, José M. Sánchez‐Bornot, Alison McCann, Kudret Yelden et al. · 2026 · Communications Medicine
  59. Brain-Machine Interfaces
    José del R. Millán · 2013 · Elsevier eBooks
  60. Human Computer Interactions for Amyotrophic Lateral Sclerosis Patients
    Ali Blent · 2012 · InTech eBooks
  61. Feature Extraction by Mutual Information Based on Minimal-Redundancy-Maximal-Relevance Criterion and Its Application to Classifying EEG Signal for Brain-Computer Interfaces
    Abbas Erfanian, Farid Oveisi, Ali Shadvar · 2011 · InTech eBooks
  62. Automatic adaptation to the beta rebound after brisk movement imagery in a brain-computer interface
    Josef Faller, Teodoro Solis‐Escalante, Selina Christin Wriessnegger, Reinhold Scherer, Gernot R Muller-Putz · 2013 · International IEEE/EMBS Conference on Neural Engineering
  63. Symbiotic Brain-Machine Interface decoding using simultaneous motor and reward neural representation
    Babak Mahmoudi, José Carlos Príncipe, Justin C. Sanchez · 2011 · International IEEE/EMBS Conference on Neural Engineering
  64. Computational Intelligence Approaches to Brain Signal Pattern Recognition
    Pawel Andrzej Herman, Girijesh Prasad, Thomas Martin · 2008 · InTech eBooks
  65. Semi-supervised adaptation of motor imagery based BCI systems
    Ismail Yilmaz, Sumeyra Demir, Tolga Taşdizen, Müjdat Çetin · 2015 · Signal Processing and Communications Applications Conference (SIU)
  66. Enhancing fMRI Decoded Neurofeedback with Co-adaptive Training: Simulation and Proof-of-principle Evidence
    Najmeddine Abdennour, Pedro Margolles, David Soto · 2026 · Neuroinformatics
  67. Review of Brain Computer Interface Components and Corresponding Research Topics
    Kang Wang, Xueqian Wang, Bin Liang, Gang Li, Rongjian Liang · 2016 · Advances in computer science research
  68. Evaluation criteria for closed-loop adaptive dynamic discrete-continuous brain-computer interfaces: clinical study case with tetraplegic patient
    Félix Martel, Tamara Dupuy, Alexandre Moly, Stéphan Chabardès, Tetiana Aksenova · 2020 · International Joint Conference on Neural Networks (IJCNN)
  69. Action Games, Motor Imagery, and Control Strategies: Toward a Multi-button Controller
    Damien Coyle, Jacqueline Stow, Karl A. McCreadie, Chen Li, Jhonatan Garcia, Jacinta M. McElligott, Áine M. Carroll · 2016 · Springer eBooks
  70. Erratum to “A Fully On-Line Adaptive BCI”
    Carmen Vidaurre, Alois Schlögl, Rafael Cabeza, Reinhold Scherer, Gert Pfurtscheller · 2006 · IEEE Transactions on Biomedical Engineering
  71. Erratum to “General Theory of Remote Gaze Estimation Using the Pupil Center and Corneal Reflections”
    Elias D. Guestrin, Moshe Eizenman · 2006 · IEEE Transactions on Biomedical Engineering
  72. Noninvasive Communication Systems
    Dennis J. McFarland · 2008 · Springer eBooks
  73. Single-trial classification of an EEG-based brain computer interface using the wavelet packet decomposition and cepstral analysis
    Shaun S. Lodder · 2009 · SUNScholar (Stellenbosch University)
  74. Competing at the Cybathlon Championship for Athletes With Disabilities: Long-Term Motor Imagery Brain-Computer Interface Training of a Tetraplegic Cybathlete
    Attila Korik, Karl A. McCreadie, Niall McShane, Naomi du Bois, Massoud Khodadadzadeh, Jacqui Stow, Jacinta M. McElligott, Áine M. Carroll, Damien Coyle · 2021 · Research Square
  75. High Gamma-Power Predicts Performance in Brain-Computer Interfacing
    Moritz Grosse‐Wentrup, Bernhard Schölkopf · 2012 · MPG.PuRe (Max Planck Society)
  76. Detecção de potenciais evocados P300 para ativação de uma interface cérebro-máquina.
    Antonio Carlos B. de Godoi · 2010
  77. Erratum to June-issue Table of Contents
    Carmen Vidaurre, Alois Schlögl, Rafael Cabeza, Reinhold Scherer, Gert Pfurtscheller · 2006 · IEEE Transactions on Biomedical Engineering
  78. Research of Visual Stimulation Method and Design of Visual Stimulator Based on Brain-Computer Interface
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  79. Data-based neuro-fuzzy systems
    Sau Wai Tung · 2012
  80. Adaptation of activity recognition systems
    Kilian Förster · 2011 · Repository for Publications and Research Data (ETH Zurich)
  81. Efficient EEG frequency band selection techniques for a robust motor imagery based brain-computer interface
    Kavitha P. Thomas · 2011
  82. An ssvep brain-computer interface: a machine learning approach
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  83. Análisis, decodificación y clasificación de la señal EEG en entornos tridimensionales
    Teodoro García Egea · 2015
  84. Covariate shift detection-based nonstationary adaptation in motor-imagery-based brain–computer interface
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  85. DETECÇÃO DE POTENCIAIS EVOCADOS P300 PARA ATIVAÇÃO DE UMA INTERFACE CÉREBRO-MÁQUINA
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  86. Discrimination of Shoulder Flexion/Extension Motor Imagery Through EEG Spatial Features to Command an Upper Limb Robotic Exoskeleton
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  87. Enabling Brain-Computer Interface Co-Adaptation with Performance-Related Signals
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  88. Decoding personalized motor cortical excitability states from human electroencephalography
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  89. Brain–Computer Interfacing Using EEG
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  90. Brain–machine interfaces
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  91. Brain-Machine Interfaces
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  93. Modèles de covariance pour l'analyse et la classification de signaux électroencéphalogrammes
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