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Disability and Rehabilitation: Assistive Technology Volume 10, 2015 - Issue 3
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Original Research

Electrode subset selection methods for an EEG-based P300 brain-computer interface

Michael T. McCannDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA, Correspondence[email protected] [email protected]
,
David E. ThompsonDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA,
,
Zeeshan H. SyedDepartment of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA, and
&
Jane E. HugginsDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA, ;Department of Physical Medicine and Rehabilitation, University of Michigan Hospital, Ann Arbor, MI, USA
Pages 216-220 | Received 30 Jul 2013, Accepted 14 Jan 2014, Published online: 10 Feb 2014

Citations (16)

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Tianwen Ma, Yang Li, Jane E. Huggins, Ji Zhu & Jian Kang. (2022) Bayesian Inferences on Neural Activity in EEG-Based Brain-Computer Interface. Journal of the American Statistical Association 117:539, pages 1122-1133.
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Articles from other publishers (15)

Xueqing Zhao, Jing Jin, Ren Xu, Shurui Li, Hao Sun, Xingyu Wang & Andrzej Cichocki. (2022) A Regional Smoothing Block Sparse Bayesian Learning Method With Temporal Correlation for Channel Selection in P300 Speller. Frontiers in Human Neuroscience 16.
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Xiangzi Zhang, Xiaobin Ding, Dandan Tong, Pengbin Chang & Jizhao Liu. (2022) Secure Communication Scheme for Brain-Computer Interface Systems Based on High-Dimensional Hyperbolic Sine Chaotic System. Frontiers in Physics 9.
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Josefina Gutierrez-Martinez, Jorge A. Mercado-Gutierrez, Blanca E. Carvajal-Gámez, Jorge L. Rosas-Trigueros & Adrian E. Contreras-Martinez. (2021) Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions. Frontiers in Human Neuroscience 15.
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Christian Oliva, Vinicio Changoluisa, Francisco B. Rodríguez & Luis F. Lago-Fernández. 2021. Artificial Neural Networks and Machine Learning – ICANN 2021. Artificial Neural Networks and Machine Learning – ICANN 2021 457 468 .
Vinicio Changoluisa, Pablo Varona & Francisco B. Rodriguez. 2021. Advances in Computational Intelligence. Advances in Computational Intelligence 230 241 .
Jobin T. Philip & S. Thomas George. (2019) Visual P300 Mind-Speller Brain-Computer Interfaces: A Walk Through the Recent Developments With Special Focus on Classification Algorithms. Clinical EEG and Neuroscience 51:1, pages 19-33.
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Vinicio Changoluisa, Pablo Varona & Francisco De Borja Rodriguez. (2020) A Low-Cost Computational Method for Characterizing Event-Related Potentials for BCI Applications and Beyond. IEEE Access 8, pages 111089-111101.
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Jobin T. Philip, S. Thomas George & M. S. P. Subathra. 2020. Second International Conference on Computer Networks and Communication Technologies. Second International Conference on Computer Networks and Communication Technologies 634 642 .
Guillermo Sarasa, Ana Granados & Francisco B. Rodriguez. (2019) Algorithmic clustering based on string compression to extract P300 structure in EEG signals. Computer Methods and Programs in Biomedicine 176, pages 225-235.
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Ruben Moermans, Benjamin Wittevrongel & Marc M. Van Hulle. (2018) Mutual Information-Based Electrode Selection Extended With Prior Knowledge For Use in Brain-Computer Interfacing. Mutual Information-Based Electrode Selection Extended With Prior Knowledge For Use in Brain-Computer Interfacing.
Mayra Bittencourt-Villalpando & Natasha M. Maurits. (2018) Stimuli and Feature Extraction Algorithms for Brain-Computer Interfaces: A Systematic Comparison. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26:9, pages 1669-1679.
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Vinicio Changoluisa, Pablo Varona & Francisco B. Rodriguez. (2018) An electrode selection approach in P300-based BCIs to address inter- and intra-subject variability. An electrode selection approach in P300-based BCIs to address inter- and intra-subject variability.
Saugat Bhattacharyya, Amit Konar, D. N. Tibarewala & Mitsuhiro Hayashibe. (2017) A Generic Transferable EEG Decoder for Online Detection of Error Potential in Target Selection. Frontiers in Neuroscience 11.
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Vinicio Changoluisa, Pablo Varona & Francisco B. Rodriguez. 2017. Advances in Computational Intelligence. Advances in Computational Intelligence 486 497 .
Pedro J. García-Laencina, Germán Rodríguez-Bermudez & Joaquín Roca-Dorda. (2014) Exploring dimensionality reduction of EEG features in motor imagery task classification. Expert Systems with Applications 41:11, pages 5285-5295.
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