IEEE Transactions on Biomedical Engineering

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Feasibility of Automatic Error Detect-and-Undo System in Human Intracortical Brain-Computer Interfaces
Brain-computer interfaces (BCIs) aim to help people with paralysis to improve their communication and independence. Intracortical BCIs (iBCIs) have shown promising results in pilot clinical trials. Despite the performance improvements over the last decades, BCI systems still make errors that... Read more
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A High-Performance Neural Prosthesis Incorporating Discrete State Selection with Hidden Markov Models
Communication neural prostheses aim to restore efficient communication to people with paralysis and ALS.  These systems record neural signals from the brain and translate them, through a decoder algorithm, into control signals for moving an end effector.  In our study,... Read more
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Simulating Transcranial Direct Current Stimulation With a Detailed Anisotropic Human Head Model
Rampersad, S.M. ; Janssen, A.M. ; Lucka, F. ; Aydin, U. ; Lanfer, B. ; Lew, S. ; Wolters, C.H. ; Stegeman, D.F. ; Oostendorp, T.F. ACCESS PAPER DATA READ FULL ARTICLE ON IEEE XPLORE Abstract Transcranial direct current stimulation (tDCS) is a noninvasive... Read more