Literature DB >> 22255773

An EEG-based brain computer interface for rehabilitation and restoration of hand control following stroke using ipsilateral cortical physiology.

Sam Fok1, Raphael Schwartz, Mark Wronkiewicz, Charles Holmes, Jessica Zhang, Thane Somers, David Bundy, Eric Leuthardt.   

Abstract

The loss of motor control severely impedes activities of daily life. Brain computer interfaces (BCIs) offer new possibilities to treat nervous system injuries, but conventional BCIs use signals from primary motor cortex, the same sites most likely damaged in a stroke causing paralysis. Recent studies found distinct cortical physiology associated with contralesional limb movements in regions distinct from primary motor cortex. To capitalize on these findings, we designed and implemented a BCI that localizes and acquires these brain signals to drive a powered, hand orthotic which opens and closes a patient's hand.

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Year:  2011        PMID: 22255773     DOI: 10.1109/IEMBS.2011.6091549

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  10 in total

1.  Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy.

Authors:  Sumner Norman; Mark Dennison; Eric Wolbrecht; Steven Cramer; Ramesh Srinivasan; David Reinkensmeyer
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-02-11       Impact factor: 3.802

2.  Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.

Authors:  A R Marathe; D M Taylor
Journal:  J Neural Eng       Date:  2013-04-23       Impact factor: 5.379

3.  Electroencephalographic modulations during an open- or closed-eyes motor task.

Authors:  Sébastien Rimbert; Rahaf Al-Chwa; Manuel Zaepffel; Laurent Bougrain
Journal:  PeerJ       Date:  2018-03-15       Impact factor: 2.984

Review 4.  Rehabilitative and assistive wearable mechatronic upper-limb devices: A review.

Authors:  Tyler Desplenter; Yue Zhou; Brandon Pr Edmonds; Myles Lidka; Allison Goldman; Ana Luisa Trejos
Journal:  J Rehabil Assist Technol Eng       Date:  2020-05-13

5.  Hypnotic State Modulates Sensorimotor Beta Rhythms During Real Movement and Motor Imagery.

Authors:  Sébastien Rimbert; Manuel Zaepffel; Pierre Riff; Perrine Adam; Laurent Bougrain
Journal:  Front Psychol       Date:  2019-10-22

6.  Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

Authors:  Paul Dominick E Baniqued; Emily C Stanyer; Muhammad Awais; Ali Alazmani; Andrew E Jackson; Mark A Mon-Williams; Faisal Mushtaq; Raymond J Holt
Journal:  J Neuroeng Rehabil       Date:  2021-01-23       Impact factor: 4.262

7.  Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach.

Authors:  M Thilagaraj; S Ramkumar; N Arunkumar; A Durgadevi; K Karthikeyan; S Hariharasitaraman; M Pallikonda Rajasekaran; Petchinathan Govindan
Journal:  Comput Intell Neurosci       Date:  2022-02-25

Review 8.  Intention Detection Strategies for Robotic Upper-Limb Orthoses: A Scoping Review Considering Usability, Daily Life Application, and User Evaluation.

Authors:  Jessica Gantenbein; Jan Dittli; Jan Thomas Meyer; Roger Gassert; Olivier Lambercy
Journal:  Front Neurorobot       Date:  2022-02-21       Impact factor: 2.650

9.  An open-source and cross-platform framework for Brain Computer Interface-guided robotic arm control.

Authors:  Pieter L Kubben; Nader Pouratian
Journal:  Surg Neurol Int       Date:  2012-12-14

10.  Effect of Anodal-tDCS on Event-Related Potentials: A Controlled Study.

Authors:  Ahmed Izzidien; Sriharasha Ramaraju; Mohammed Ali Roula; Peter W McCarthy
Journal:  Biomed Res Int       Date:  2016-11-10       Impact factor: 3.411

  10 in total

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