Literature DB >> 12611359

Initial on-line evaluations of the LF-ASD brain-computer interface with able-bodied and spinal-cord subjects using imagined voluntary motor potentials.

Gary E Birch1, Ziba Bozorgzadeh, Steve G Mason.   

Abstract

Previous research has focused on developing a brain-controlled switch named the low frequency asynchronous switch design (LF-ASD) that is suitable for intermittent control of devices such as environmental control systems, computers, and neural prostheses. On-line implementations of the LF-ASD have shown promising results in response to actual index finger flexions with able-bodied subjects. This paper reports the results of initial on-line evaluations of the LF-ASD brain-controlled switch with both able-bodied subjects and subjects with high-level spinal-cord injuries. This paper has demonstrated that users can activate the LF-ASD switch by imaging movement. In this paper, two able-bodied subjects were able to control the LF-ASD with imagined voluntary movements with hit (true positive) rates above 70% and false positive rates below 3% while two subjects with high-level spinal-cord injuries demonstrated hit rates ranging from 45-48% and false positive rates below 1%.

Entities:  

Mesh:

Year:  2002        PMID: 12611359     DOI: 10.1109/TNSRE.2002.806839

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  16 in total

1.  Automatic user customization for improving the performance of a self-paced brain interface system.

Authors:  Mehrdad Fatourechi; Ali Bashashati; Gary E Birch; Rabab K Ward
Journal:  Med Biol Eng Comput       Date:  2006-11-17       Impact factor: 2.602

2.  A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.

Authors:  Chun Sing Louis Tsui; John Q Gan; Stephen J Roberts
Journal:  Med Biol Eng Comput       Date:  2009-02-19       Impact factor: 2.602

3.  The performance of 9-11-year-old children using an SSVEP-based BCI for target selection.

Authors:  James J S Norton; Jessica Mullins; Birgit E Alitz; Timothy Bretl
Journal:  J Neural Eng       Date:  2018-06-28       Impact factor: 5.379

4.  Towards a user-friendly brain-computer interface: initial tests in ALS and PLS patients.

Authors:  Ou Bai; Peter Lin; Dandan Huang; Ding-Yu Fei; Mary Kay Floeter
Journal:  Clin Neurophysiol       Date:  2010-03-29       Impact factor: 3.708

Review 5.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

6.  A self-paced brain interface system that uses movement related potentials and changes in the power of brain rhythms.

Authors:  Mehrdad Fatourechi; Gary E Birch; Rabab K Ward
Journal:  J Comput Neurosci       Date:  2007-01-10       Impact factor: 1.621

7.  Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode.

Authors:  César Márquez-Chin; Milos R Popovic; Egor Sanin; Robert Chen; Andres M Lozano
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

Review 8.  Donald Munro Lecture. Spinal cord injury--past, present, and future.

Authors:  William H Donovan
Journal:  J Spinal Cord Med       Date:  2007       Impact factor: 1.985

9.  Automatic artefact removal in a self-paced hybrid brain- computer interface system.

Authors:  Xinyi Yong; Mehrdad Fatourechi; Rabab K Ward; Gary E Birch
Journal:  J Neuroeng Rehabil       Date:  2012-07-27       Impact factor: 4.262

10.  Application of a hybrid wavelet feature selection method in the design of a self-paced brain interface system.

Authors:  Mehrdad Fatourechi; Gary E Birch; Rabab K Ward
Journal:  J Neuroeng Rehabil       Date:  2007-04-30       Impact factor: 4.262

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