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Brain-Computer Interfaces Volume 7, 2020 - Issue 1-2
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Articles

Performance comparison of a non-invasive P300-based BCI mouse to a head-mouse for people with SCI

Aviroop Dutt-MazumderDepartment of Physical Medicine & Rehabilitation, University of Michigan, Ann Arbor, MI, USAORCID Iconhttps://orcid.org/0000-0002-6256-0578View further author information
ORCID Icon &
Jane E. HugginsDepartment of Physical Medicine & Rehabilitation, University of Michigan, Ann Arbor, MI, USA;Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA;Neuroscience Graduate Program, University of Michigan, Ann Arbor, MI, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-8709-4350View further author information
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Pages 1-10 | Received 19 Jan 2019, Accepted 06 Jan 2020, Published online: 23 Jan 2020

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Kevin M. Pitt, Miechelle McKelvey & Kristy Weissling. (2022) The perspectives of augmentative and alternative communication experts on the clinical integration of non-invasive brain-computer interfaces. Brain-Computer Interfaces 9:4, pages 193-210.
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Articles from other publishers (7)

Jixiang Li, Yurong Li & Min Du. (2023) Comparative study of EEG motor imagery classification based on DSCNN and ELM. Biomedical Signal Processing and Control 84, pages 104750.
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Deepak Kapgate. (2022) Effective 2-D cursor control system using hybrid SSVEP + P300 visual brain computer interface. Medical & Biological Engineering & Computing 60:11, pages 3243-3254.
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Mostafa Farrokhi Afsharyan & Masoud Hoseinzade. (2021) A Hardware in Loop Simulation Robot Control by Weareable Electroencephalography (EEG)-Based Brain Computer Interface (BCI). A Hardware in Loop Simulation Robot Control by Weareable Electroencephalography (EEG)-Based Brain Computer Interface (BCI).
R Sindhuja, J Samson Isaac, Poornima Vijayakumar, Jeffin Joseph & A.E.Adrian Samuel. (2021) Simulation And Modelling of BCI Based Multi Purpose Wheel Chair For Paralysed People. Journal of Physics: Conference Series 1937:1, pages 012048.
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Ali Haider. (2021) A Brief Review of Signal Processing for EEG-based BCI: Approaches and Opportunities. A Brief Review of Signal Processing for EEG-based BCI: Approaches and Opportunities.
Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir Al-Bakri, Mariusz Pelc, Jaroslaw Zygarlicki, Michaela Sidikova, Radek Martinek & Edward Jacek Gorzelanczyk. (2021) Summary of over Fifty Years with Brain-Computer Interfaces—A Review. Brain Sciences 11:1, pages 43.
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Md Rakibul Mowla, Jesus D. Gonzalez-Morales, Jacob Rico-Martinez, Daniel A. Ulichnie & David E. Thompson. (2020) A Comparison of Classification Techniques to Predict Brain-Computer Interfaces Accuracy Using Classifier-Based Latency Estimation. Brain Sciences 10:10, pages 734.
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