Literature DB >> 15473196

Computer control using human intracortical local field potentials.

Philip R Kennedy1, M Todd Kirby, Melody M Moore, Brandon King, Adon Mallory.   

Abstract

We describe the use of human cortical control signals to operate two assistive technology tools--a virtual keyboard speller and a computer-simulated digit. The cortical signals used for control are local field potentials recorded through an implanted neurotrophic electrode. In this system, the patients' cortical signals are transmitted wirelessly to a receiver and translated by computer software into either a computer cursor movement (for the virtual keyboard) or flexion of a cyber digit on a virtual hand. This report focuses on the progress of two subjects toward effective use of their "virtual" neuro-prosthetic devices to meet their assistive technology needs.

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Year:  2004        PMID: 15473196     DOI: 10.1109/TNSRE.2004.834629

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


  34 in total

Review 1.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

2.  Subcortical neuronal ensembles: an analysis of motor task association, tremor, oscillations, and synchrony in human patients.

Authors:  Timothy L Hanson; Andrew M Fuller; Mikhail A Lebedev; Dennis A Turner; Miguel A L Nicolelis
Journal:  J Neurosci       Date:  2012-06-20       Impact factor: 6.167

Review 3.  Neural engineering to produce in vitro nerve constructs and neurointerface.

Authors:  Bryan J Pfister; Jason H Huang; Niranjan Kameswaran; Eric L Zager; Douglas H Smith
Journal:  Neurosurgery       Date:  2007-01       Impact factor: 4.654

4.  Application of system identification methods for decoding imagined single-joint movements in an individual with high tetraplegia.

Authors:  A Bolu Ajiboye; Leigh R Hochberg; John P Donoghue; Robert F Kirsch
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

Review 5.  The development of brain-machine interface neuroprosthetic devices.

Authors:  Parag G Patil; Dennis A Turner
Journal:  Neurotherapeutics       Date:  2008-01       Impact factor: 7.620

6.  Decoding three-dimensional reaching movements using electrocorticographic signals in humans.

Authors:  David T Bundy; Mrinal Pahwa; Nicholas Szrama; Eric C Leuthardt
Journal:  J Neural Eng       Date:  2016-02-23       Impact factor: 5.379

7.  In vivo deployment of mechanically adaptive nanocomposites for intracortical microelectrodes.

Authors:  J P Harris; A E Hess; S J Rowan; C Weder; C A Zorman; D J Tyler; J R Capadona
Journal:  J Neural Eng       Date:  2011-06-08       Impact factor: 5.379

8.  A magneto-inductive sensor based wireless tongue-computer interface.

Authors:  Xueliang Huo; Jia Wang; Maysam Ghovanloo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2008-10       Impact factor: 3.802

9.  Optimization of electrode channels in Brain Computer Interfaces.

Authors:  M Kamrunnahar; N S Dias; S J Schiff
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

10.  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

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