A novel P300-based brain–computer interface stimulus presentation paradigm: Moving beyond rows and columns

Cited by (570)

Items 101–200 of 570

  1. Bayesian Approach to Dynamically Controlling Data Collection in P300 Spellers
    Kenneth D. Morton, Kenneth A. Colwell, David B. Ryan, Eric W. Sellers, Leslie M. Collins · 2013 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  2. Rapid P300 brain-computer interface communication with a head-mounted display
    Ivo Käthner, Andrea Kübler, Sebastian Halder · 2015 · Frontiers in Neuroscience
  3. P300-Based Brain-Neuronal Computer Interaction for Spelling Applications
    Cristian-Cezar Postelnicu, Doru Talabă · 2012 · IEEE Transactions on Biomedical Engineering
  4. Channel selection methods for the P300 Speller
    Kenneth A. Colwell, David B. Ryan, Kenneth D. Morton, Eric W. Sellers, Leslie M. Collins · 2014 · Journal of Neuroscience Methods
  5. The effects of stimulus timing features on P300 speller performance
    Jessica Lu, William F Speier, Xiao Hu, Nader Pouratian · 2012 · Clinical Neurophysiology
  6. Integrating language models into classifiers for BCI communication: a review
    William F Speier, Corey W Arnold, Nader Pouratian · 2016 · Journal of Neural Engineering
  7. A Dynamic Window Recognition Algorithm for SSVEP-Based Brain–Computer Interfaces Using a Spatio-Temporal Equalizer
    Chen Yang, Xu Han, Yijun Wang, Rami Saab, Shangkai Gao, Xiaorong Gao · 2018 · International Journal of Neural Systems
  8. A new P300 stimulus presentation pattern for EEG-based spelling systems
    Jing Jin, Petar Horki, Clemens Brunner, Xingyu Wang, Christa Neuper, Gert Pfurtscheller · 2010 · Biomedizinische Technik/Biomedical Engineering
  9. What limits the performance of current invasive brain machine interfaces?
    Gytis Baranauskas · 2014 · Frontiers in Systems Neuroscience
  10. Training leads to increased auditory brain–computer interface performance of end-users with motor impairments
    Sebastian Halder, Ivo Käthner, Andrea Kübler · 2015 · Clinical Neurophysiology
  11. Towards Intelligent Environments: An Augmented Reality–Brain–Machine Interface Operated with a See-Through Head-Mount Display
    Kouji Takano, Naoki Hata, Kenji Kansaku · 2011 · Frontiers in Neuroscience
  12. Targeting an efficient target-to-target interval for P300 speller brain–computer interfaces
    Jing Jin, Eric W. Sellers, Xingyu Wang · 2012 · Medical & Biological Engineering & Computing
  13. A High-Performance Keyboard Neural Prosthesis Enabled by Task Optimization
    Paul Nuyujukian, Joline M. Fan, Jonathan C. Kao, Stephen I. Ryu, K.V. Shenoy · 2014 · IEEE Transactions on Biomedical Engineering
  14. Pushing the P300-based brain–computer interface beyond 100 bpm: extending performance guided constraints into the temporal domain
    George Townsend, V Platsko · 2016 · Journal of Neural Engineering
  15. Direct-Sense Brain–Computer Interfaces and Wearable Computers
    Chin‐Teng Lin, Thomas Do · 2020 · IEEE Transactions on Systems Man and Cybernetics Systems
  16. A four-choice hybrid P300/SSVEP BCI for improved accuracy
    Brendan Z. Allison, Jing Jin, Yu Zhang, Xingyu Wang · 2014 · Brain-Computer Interfaces
  17. Closed-Loop Brain–Machine–Body Interfaces for Noninvasive Rehabilitation of Movement Disorders
    Frédéric D. Broccard, Tim R. Mullen, Yu Mike Chi, David Peterson, John Rehner Iversen, Mike Arnold, Kenneth Kreutz-Delgado, Tzyy‐Ping Jung, Scott Makeig, Howard Poizner A et al. · 2014 · Annals of Biomedical Engineering
  18. Performance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis
    Andrew M. Geronimo, Zachary Simmons, Steven J. Schiff · 2016 · Journal of Neural Engineering
  19. "Brain Invaders": a prototype of an open-source P300- based video game working with the OpenViBE platform
    Marco Congedo, Matthieu Goyat, Nicolas Tarrin, Gelu Ionescu, Léo Varnet, Bertrand Rivet, Ronald Phlypo, Nisrine Jrad, Michaël Acquadro, Christian Jutten B · 2011 · HAL
  20. Toward functioning and usable brain–computer interfaces (BCIs): A literature review
    Emanuele Pasqualotto, Stefano Federici, Marta Olivetti Belardinelli · 2011 · Disability and Rehabilitation Assistive Technology
  21. Brain-controlled applications using dynamic P300 speller matrices
    Sebastian Halder, Andreas Pinegger, Ivo Käthner, Selina Christin Wriessnegger, Josef Faller, João B. Pires Antunes, Gernot Müller-Putz, Andrea Kübler · 2014 · Artificial Intelligence in Medicine
  22. Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning
    Ghanahshyam B. Kshirsagar, Narendra Digambar Londhe · 2018 · IEEE Transactions on Biomedical Engineering
  23. Advances in P300 brain–computer interface spellers: toward paradigm design and performance evaluation
    Jiahui Pan, Xuening Chen, Nianming Ban, Jiashao He, Jiayi Chen, Haiyun Huang · 2022 · Frontiers in Human Neuroscience
  24. Control or non-control state: that is the question! An asynchronous visual P300-based BCI approach
    Andreas Pinegger, Josef Faller, Sebastian Halder, Selina Christin Wriessnegger, Gernot R Muller-Putz · 2015 · Journal of Neural Engineering
  25. A general P300 brain–computer interface presentation paradigm based on performance guided constraints
    George Townsend, Jessica L. Shanahan, David B. Ryan, Eric W. Sellers · 2012 · Neuroscience Letters
  26. Operation of a P300-based brain–computer interface by individuals with cervical spinal cord injury
    Shiro Ikegami, Kouji Takano, Naokatsu Saeki, Kenji Kansaku · 2010 · Clinical Neurophysiology
  27. A P300-based brain computer interface system for words typing
    Faraz Akram, Hee‐Sok Han, Tae‐Seong Kim · 2013 · Computers in Biology and Medicine
  28. Performance assessment in brain-computer interface-based augmentative and alternative communication
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  29. Language Model Applications to Spelling with Brain-Computer Interfaces
    Anderson Mora-Cortes, Nikolay V. Manyakov, Nikolay Chumerin, Marc M. Van Hulle · 2014 · Sensors
  30. Skilled independent control of individual motor units via a non-invasive neuromuscular–machine interface
    Emanuele Formento, Paul Botros, Jose M. Carmena · 2021 · Journal of Neural Engineering
  31. Whether generic model works for rapid ERP-based BCI calibration
    Jing Jin, Eric W. Sellers, Yu Zhang, Ian P. Daly, Xingyu Wang, Andrzej S Cichocki · 2012 · Journal of Neuroscience Methods
  32. Brain-Computer Interface for Persons with Motor Disabilities - A Review
    T. Anitha, N. Shanthi, R. Sathiyasheelan, G. Emayavaramban, T. Rajendran · 2019 · The Open Biomedical Engineering Journal
  33. Capsule Network for ERP Detection in Brain-Computer Interface
    Ma, Ronghua, Yu, Tianyou, Zhong, Xiaoli, Yu, Zhu Liang, Li, Yuanqing, Gu, Zhenghui · 2021 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  34. A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systems
    William F Speier, Aniket Deshpande, Nader Pouratian · 2014 · Clinical Neurophysiology
  35. Toward a minimally invasive brain–computer interface using a single subdural channel: A visual speller study
    Dan Zhang, Huaying Song, Rui Xu, Wenjing Zhou, Zhipei Ling, Bo Hong · 2013 · NeuroImage
  36. Beyond maximum speed—a novel two-stimulus paradigm for brain–computer interfaces based on event-related potentials (P300-BCI)
    Tobias Kaufmann, Andrea Kübler · 2014 · Journal of Neural Engineering
  37. A comparison study of two P300 speller paradigms for brain–computer interface
    Pan, Jiahui, Li, Yuanqing, Gu, Zhenghui, Yu, Zhuliang · 2013 · Cognitive Neurodynamics
  38. A novel task-oriented optimal design for P300-based brain–computer interfaces
    Zongtan Zhou, Erwei Yin, Yang Liu, Jun Jiang, Dewen Hu · 2014 · Journal of Neural Engineering
  39. Toward Optimization of Gaze-Controlled Human–Computer Interaction: Application to Hindi Virtual Keyboard for Stroke Patients
    Yogesh Kumar Meena, Hubert Cecotti, KongFatt Wong‐Lin, Ashish Dutta, Girijesh Prasad · 2018 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  40. Autonomous Parameter Adjustment for SSVEP-Based BCIs with a Novel BCI Wizard
    Felix W. Gembler, Piotr Stawicki, Ivan Volosyak · 2015 · Frontiers in Neuroscience
  41. Application of P300 Event-Related Potential in Brain-Computer Interface
    Ali Haider, Reza Fazel-Rezai · 2017 · InTech eBooks
  42. An exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data
    Yalda Shahriari, Theresa M. Vaughan, Lynn M. McCane, Brendan Z. Allison, Jonathan R. Wolpaw, Dean J. Krusienski · 2019 · Journal of Neural Engineering
  43. Brain Control: Human-computer Integration Control Based on Brain-computer Interface
    Xingyu Wang, Jing Jin, Yu Zhang, Bei WANG · 2013 · Acta Automatica Sinica
  44. Integrating Language Information With a Hidden Markov Model to Improve Communication Rate in the P300 Speller
    William F Speier, Corey W Arnold, Jessica Lu, Aniket Deshpande, Nader Pouratian · 2014 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  45. Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees
    David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus‐Robert Müller, Michael Tangermann, Pieter-Jan Kindermans · 2017 · PLoS ONE
  46. An empirical evaluation of a hands-free computer interaction for users with motor disabilities
    Boštjan Šumak, Matic Špindler, Mojca Debeljak, Marjan Heričko, Maja Pušnik · 2019 · Journal of Biomedical Informatics
  47. A high-speed hybrid brain-computer interface with more than 200 targets
    Jin Ho Han, Minpeng Xu, Xiaolin Xiao, Weibo Yi, Tzyy‐Ping Jung, Dong Ming · 2023 · Journal of Neural Engineering
  48. Development of Single-Channel Hybrid BCI System Using Motor Imagery and SSVEP
    Li‐Wei Ko, Sriram Ranga, Oleksii Komarov, Chung-Chiang Chen · 2017 · Journal of Healthcare Engineering
  49. Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG classification
    Xuefei Zhao, Dong Liu, Li Ma, Quan Liu, Kun Chen, Sheng Quan Xie, Qingsong Ai · 2021 · Biomedical Signal Processing and Control
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    Leandro da Silva‐Sauer, Luís Valero Aguayo, Alejandro de la Torre‐Luque, Ricardo Ron-Angevín, Sergio Varona-Moya · 2015 · Applied Ergonomics
  51. Visual P300 Mind-Speller Brain-Computer Interfaces: A Walk Through the Recent Developments With Special Focus on Classification Algorithms
    Jobin T. Philip, Selvaraj Thomas George · 2019 · Clinical EEG and Neuroscience
  52. An Intention-Driven Semi-autonomous Intelligent Robotic System for Drinking
    Zhijun Zhang, Yongqian Huang, Siyuan Chen, Jun Qu, Xin Pan, Tianyou Yu, Yuanqing Li · 2017 · Frontiers in Neurorobotics
  53. A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities
    Betts Peters, Brandon Scott Eddy, Deirdre Galvin-McLaughlin, Gail Betz, Barry Oken, Melanie B. Fried-Oken · 2022 · Frontiers in Human Neuroscience
  54. The Human Factors and Ergonomics of P300-Based Brain-Computer Interfaces
    J. Clark Powers, Kateryna Bieliaieva, Shuohao Wu, Chang Soo Nam · 2015 · Brain Sciences
  55. A P300-based Brain-Computer Interface with Stimuli on Moving Objects: Four-Session Single-Trial and Triple-Trial Tests with a Game-Like Task Design
    Ilya P. Ganin, Sergei L. Shishkin, Alexander Kaplan · 2013 · PLoS ONE
  56. Asynchronous P300-Based Brain-Computer Interface to Control a Virtual Environment: Initial Tests on End Users
    Fabio Aloise A, Francesca Schettini, Pietro Aricò, Serenella Salinari, Christoph Guger, Johanna Rinsma, Marco Aiello, Donatella Mattia A, Febo Cincotti A · 2011 · Clinical EEG and Neuroscience
  57. Binary DE-Based Channel Selection and Weighted Ensemble of SVM Classification for Novel Brain–Computer Interface Using Devanagari Script-Based P300 Speller Paradigm
    Rahul Kumar Chaurasiya, Narendra Digambar Londhe, Subhojit Ghosh · 2016 · International Journal of Human-Computer Interaction
  58. Online Home Appliance Control Using EEG-Based Brain–Computer Interfaces
    Minju Kim, Min‐Ki Kim, Minho Hwang, Hyun‐Young Kim, Jeongho Cho, Sung-Phil Kim · 2019 · Electronics
  59. Evaluating True BCI Communication Rate through Mutual Information and Language Models
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  60. Improving BCI performance through co-adaptation: Applications to the P300-speller
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  61. Adding Real-Time Bayesian Ranks to Error-Related Potential Scores Improves Error Detection and Auto-Correction in a P300 Speller
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  62. EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface
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    Honglin Hu, Zhenyu Wang, Xi Zhao, Ruxue Li, Ang Li, Yuan Si, Jiaheng Wang, Ting Zhou, Tianheng Xu · 2024 · IEEE Communications Surveys & Tutorials
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