Literature DB >> 22255655

Noninvasive brain-computer interface driven hand orthosis.

Christine E King1, Po T Wang, Masato Mizuta, David J Reinkensmeyer, An H Do, Shunji Moromugi, Zoran Nenadic.   

Abstract

Neurological conditions, such as stroke, can leave the affected individual with hand motor impairment despite intensive treatments. Novel technologies, such as brain-computer interface (BCI), may be able to restore or augment impaired motor behaviors by engaging relevant cortical areas. Here, we developed and tested an electroencephalogram (EEG) based BCI system for control of hand orthosis. An able-bodied subject performed contralateral hand grasping to achieve continuous online control of the hand orthosis, suggesting that the integration of a noninvasive BCI with a hand orthosis is feasible. The adoption of this technology to stroke survivors may provide a novel neurorehabilitation therapy for hand motor impairment in this population.

Entities:  

Mesh:

Year:  2011        PMID: 22255655     DOI: 10.1109/IEMBS.2011.6091432

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


  5 in total

1.  Brain-Computer Interfaces in Neurorecovery and Neurorehabilitation.

Authors:  Michael J Young; David J Lin; Leigh R Hochberg
Journal:  Semin Neurol       Date:  2021-03-19       Impact factor: 3.212

Review 2.  A structured overview of trends and technologies used in dynamic hand orthoses.

Authors:  Ronald A Bos; Claudia J W Haarman; Teun Stortelder; Kostas Nizamis; Just L Herder; Arno H A Stienen; Dick H Plettenburg
Journal:  J Neuroeng Rehabil       Date:  2016-06-29       Impact factor: 4.262

3.  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

4.  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

5.  Brain-computer interface controlled robotic gait orthosis.

Authors:  An H Do; Po T Wang; Christine E King; Sophia N Chun; Zoran Nenadic
Journal:  J Neuroeng Rehabil       Date:  2013-12-09       Impact factor: 4.262

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.