Performance Assessment of a Brain–Computer Interface Driven Hand Orthosis-Reference-Cited by-同舟云学术

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Performance Assessment of a Brain–Computer Interface Driven Hand Orthosis

Published:2014-07-11 Issue:10 Volume:42 Page:2095-2105
ISSN:0090-6964
Container-title:Annals of Biomedical Engineering
language:en
Short-container-title:Ann Biomed Eng

Author:

King Christine E.,Dave Kunal R.,Wang Po T.,Mizuta Masato,Reinkensmeyer David J.,Do An H.,Moromugi Shunji,Nenadic Zoran

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10439-014-1066-9.pdf

Reference29 articles.

1. Ball, T., A. Schreiber, B. Feige, M. Wagner, C. Hermann Lücking, and R. Kristeva-Feige. The role of higher-order motor area in voluntary movement as revealed by high-resolution EEG and fMRI. Neuroimage 10:682–694, 1999.

2. Buch, E., C. Weber, L. G. Cohen, C. Braun, M. A. Dimyan, T. Ard, J. Mellinger, A. Caria, S. Soekadar, A. Fourkas, and N. Birbaumer. Think to move: a neuromagnetic brain–computer interface (BCI) system for chronic stroke. Stroke 39(3):910–917, 2008.

3. Daly, J. J., R. Cheng, J. Rogers, K. Litinas, K. Hrovat, and M. Dohring. Feasibility of a new application of noninvasive brain computer interface (BCI): a case study of training for recovery of volitional motor control after stroke. J. Neurol. Phys. Ther. 33(4):203–211, 2009.

4. Das, K. and Z. Nenadic. Approximate information discriminant analysis: a computationally simple heteroscedastic feature extraction technique. Pattern Recogn. 41(5):1548–1557, 2008.

5. Das, K., and Z. Nenadic. An efficient discriminant-based solution for small sample size problem. Pattern Recogn. 42(5):857–866, 2009.

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1. Brain-Computer Interface Through the Prism of Modern Age;IFMBE Proceedings;2024

2. NOHAS: A Novel Orthotic Hand Actuated by Servo Motors and Mobile App for Stroke Rehabilitation;Robotics;2023-12-08

3. Brain-computer interface prototype to support upper limb rehabilitation processes in the human body;International Journal of Information Technology;2023-09-01

4. Noninvasively recorded high-gamma signals improve synchrony of force feedback in a novel neurorehabilitation brain–machine interface for brain injury;Journal of Neural Engineering;2022-06-01

5. Intention Detection Strategies for Robotic Upper-Limb Orthoses: A Scoping Review Considering Usability, Daily Life Application, and User Evaluation;Frontiers in Neurorobotics;2022-02-21

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