This paper describes the highlights of presentations and discussions during the Third International BCI Meeting in a workshop that evaluated potential brain-computer interface (BCI) signals and currently available recording methods. It defined the main potential user populations and their needs, addressed the relative advantages and disadvantages of noninvasive and implanted (i.e., invasive) methodologies, considered ethical issues, and focused on the challenges involved in translating BCI systems from the laboratory to widespread clinical use. The workshop stressed the critical importance of developing useful applications that establish the practical value of BCI technology.
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http://dx.doi.org/10.1109/TNSRE.2006.875583 | DOI Listing |
J Neural Eng
December 2024
The University of Melbourne, Parkville, Melbourne, Victoria, 3010, AUSTRALIA.
Implantable brain-computer interfaces (iBCIs) hold great promise for individuals with severe paralysis and are advancing toward commercialization. The features required to achieve autonomous use of an iBCI may be under recognized in traditional academic measures of iBCI function and deserve further consideration to achieve successful clinical translation and patient adoption. Here, we present four key considerations to achieve autonomous use, reflecting the authors' perspectives based on discussions during various sessions and workshops across the 10th International BCI Society Meeting, Brussels, 2023: (1) immediate use, (2) easy to use, (3) continuous use, and (4) stable system use.
View Article and Find Full Text PDFJ Neural Eng
November 2024
The University of Melbourne, Grattan Street, Melbourne, Victoria, 3010, AUSTRALIA.
In the rapidly evolving field of brain-computer interfaces (BCIs), a novel modality for recording electrical brain signals has quietly emerged over the past decade. The technology is endovascular electrocorticography, an innovation that stands alongside well-established methods such as electroencephalography (EEG), traditional electrocorticography (ECoG), and single/multi-unit activity recording. This system was inspired by advancements in interventional cardiology, particularly the integration of electronics into various medical interventions.
View Article and Find Full Text PDFArthroscopy
September 2024
Department of Orthopaedic Surgery, Duke University, Durham, North Carolina, USA.
J Neural Eng
September 2024
Icahn School of Medicine at Mount Sinai, 5E 98th Street, New York, New York, 10029-6574, UNITED STATES.
The 10th International Brain Computer Interface (BCI) Society Meeting, 'Balancing Innovation and Translation', was held from the 6th to 9th of June 2023 in Brussels, Belgium. This report provides a summary of the workshop 'Building Consensus on Clinical Outcome Assessments (COAs) for BCI Devices'. This workshop was intended to give participants an overview of the current state of BCI, future opportunities, and how different countries and regions provide regulatory oversight to support the BCI community to develop safe and effective devices for patients.
View Article and Find Full Text PDFNeurology
August 2024
From the Clinical Neurophysiology Group and Department of Clinical Neurophysiology (M.J.A.M.v.P.), University of Twente and Medisch Spectrum Twente; Department of Neurology (B.J.R.), OLVG, Amsterdam; Department of Intensive Care (Janneke Horn); Department of Neurology and Clinical Neurophysiology (A.-F.v.R.), Amsterdam Neuroscience, Amsterdam UMC, the Netherlands; Department of Clinical Neurophysiology (S.C.T.), St Antonius Hospital, Nieuwegein and Department of Neurology, LUMC, Leiden; Department of Neurology (V.v.K.-M.), Maastricht UMC+, the Netherlands; Department of Neurology (N.G.), Hôpital Universitaire de Bruxelles - Hôpital Erasme, Brussels, Belgium and Department of Neurology, Yale University School of Medicine, New Haven, CT; and Department of Neurology (Jeannette Hofmeijer), Rijnstate Hospital and Clinical Neurophysiology Group, University of Twente, the Netherlands.
Objectives: Rhythmic and periodic patterns (RPPs) on EEG in patients in a coma after cardiac arrest are associated with a poor neurologic outcome. We characterize RPPs using qEEG in relation to outcomes.
Methods: Post hoc analysis was conducted on 172 patients in a coma after cardiac arrest from the TELSTAR trial, all with RPPs.
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