Literature DB >> 15876625

Using human extra-cortical local field potentials to control a switch.

Philip Kennedy1, Dinal Andreasen, Princewill Ehirim, Brandon King, Todd Kirby, Hui Mao, Melody Moore.   

Abstract

Individuals with profound paralysis and mutism require a communication channel. Traditional assistive technology devices eventually fail, especially in the case of amyotrophic lateral sclerosis (ALS) subjects who gradually become totally locked-in. A direct brain-to-computer interface that provides switch functions can provide a direct communication channel to the external world. Electroencephalographic (EEG) signals recorded from scalp electrodes are significantly degraded due to skull and scalp attenuation and ambient noise. The present system using conductive skull screws allows more reliable access to cortical local field potentials (LFPs) without entering the brain itself. We describe an almost locked-in human subject with ALS who activated a switch using online time domain detection techniques. Frequency domain analysis of his LFP activity demonstrates this to be an alternative method of detecting switch activation intentions. With this brain communicator system it is reasonable to expect that locked-in, but cognitively intact, humans will always be able to communicate.

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Year:  2004        PMID: 15876625     DOI: 10.1088/1741-2560/1/2/002

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  17 in total

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Authors:  Xueliang Huo; Maysam Ghovanloo
Journal:  J Neural Eng       Date:  2010-03-23       Impact factor: 5.379

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

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Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  Neurotrophic electrode: method of assembly and implantation into human motor speech cortex.

Authors:  Jess Bartels; Dinal Andreasen; Princewill Ehirim; Hui Mao; Steven Seibert; E Joe Wright; Philip Kennedy
Journal:  J Neurosci Methods       Date:  2008-07-10       Impact factor: 2.390

4.  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

5.  Comparing temporal aspects of visual, tactile, and microstimulation feedback for motor control.

Authors:  Jason M Godlove; Erin O Whaite; Aaron P Batista
Journal:  J Neural Eng       Date:  2014-07-16       Impact factor: 5.379

6.  Accurate decoding of reaching movements from field potentials in the absence of spikes.

Authors:  Robert D Flint; Eric W Lindberg; Luke R Jordan; Lee E Miller; Marc W Slutzky
Journal:  J Neural Eng       Date:  2012-06-25       Impact factor: 5.379

7.  A testbed for optimizing electrodes embedded in the skull or in artificial skull replacement pieces used after injury.

Authors:  JingLe Jiang; Amar R Marathe; Jennifer C Keene; Dawn M Taylor
Journal:  J Neurosci Methods       Date:  2016-12-12       Impact factor: 2.390

8.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01

9.  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

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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