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Proceedings of the Fourth International Workshop on Advances in Electrocorticography
2013
Epilepsy & Behavior
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The proceedings of the workshop serves as an accurate record of the most contemporary clinical and experimental work on brain surface recording and represents the insights of a unique multidisciplinary ...
The Fourth International Workshop on Advances in Electrocorticography (ECoG) convened in New Orleans, LA, on October 11-12, 2012. ...
Unfortunately, the optimal locations for recording a cortical control signal (primary motor cortex) and providing sensory stimulation (primary sensory cortex) are located right next to each other in the ...
doi:10.1016/j.yebeh.2013.08.012
pmid:24034899
pmcid:PMC3896917
fatcat:mg52e6mrlbff3n2d2qjv5vnwxq
Decoding Individual Finger Movements from One Hand Using Human EEG Signals
2014
PLoS ONE
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The average decoding accuracy of 77.11% over all subjects was obtained in classifying each pair of fingers from one hand using movement-related spectral changes as features to be decoded using a support ...
The present study suggests the similar movement-related spectral changes in EEG as in ECoG, and demonstrates the feasibility of discriminating finger movements from one hand using EEG. ...
Acknowledgments The authors would like to thank Dr. Kai J. Miller and Dr. Gerwin Schalk for data providing of BCI Competition IV data set 4. ...
doi:10.1371/journal.pone.0085192
pmid:24416360
pmcid:PMC3885680
fatcat:eppcwfrzijajxos2gv3ugkbysy
Development of speech prostheses: current status and recent advances
2010
Expert Review of Medical Devices
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Recent research has sought to improve on existing techniques by using BCIs to create a direct prediction of speech utterances rather than to simply control a spelling device. ...
Brain-computer interfaces (BCIs) have been developed over the past decade to restore communication to persons with severe paralysis. ...
Acknowledgments The authors wish to thank Sara Rosenbaum for her assistance in the preparation of this manuscript. ...
doi:10.1586/erd.10.34
pmid:20822389
pmcid:PMC2953242
fatcat:eztvakjqpff2zgi7cmvjv5fd6e
Inferring hand movement kinematics from MEG, EEG and intracranial EEG: From brain-machine interfaces to motor rehabilitation
2011
IRBM
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Invasive BMI systems can successfully decode movement trajectories from the spiking activity of neurons in primary motor cortex and posterior parietal cortex. ...
First, a growing body of research over the last decade has shown that the local field potential (LFP) signal, which represents the summed activity of a neuronal population, can encode movement parameters ...
Acknowledgements Funding was provided by the Fondation pour la Recherche Médicale (FRM) and in part by OpenViBE 2 (ANR-RNTL) and NIH grants R01 EB002010 and R01 EB009048. ...
doi:10.1016/j.irbm.2010.12.004
fatcat:ywwpr6wqmzav3gmkptexncpiiq
Temporal alignment of electrocorticographic recordings for upper limb movement
2015
Frontiers in Neuroscience
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Four subjects had electrocorticographic (ECoG) electrodes implanted over their primary motor cortex and were asked to perform reaching and retrieving tasks using the upper limb contralateral to the site ...
A common approach is to classify the brain activity into a number of templates or states. To find these templates, the neural responses are averaged over each movement task. ...
In this study, we processed the activity of the motor cortex recorded from two ECoG contacts in a bipolar arrangement. ...
doi:10.3389/fnins.2014.00431
pmid:25628522
pmcid:PMC4292555
fatcat:kqupnrtd7be4jjjinf7alz7wre
Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production
2019
Communications Biology
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Here, we utilized the high spatiotemporal resolution of subdural recordings to elucidate how human motor cortex is functionally engaged during control of real-life orofacial motor behaviour. ...
For each investigated movement class-lip licking, speech production, laughing and smiling-our findings reveal a characteristic brain activity pattern within the mouth motor cortex with both spatial segregation ...
Data availability The data that support the findings of this study are available from the corresponding authors upon request. ...
doi:10.1038/s42003-019-0360-3
pmid:30937400
pmcid:PMC6435746
fatcat:62y52skqsjfaxm2gdoh4eyaxoa
Summary of over Fifty Years with Brain-Computer Interfaces—A Review
2021
Brain Sciences
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In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain. ...
Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. ...
Participant of this study was chronically paralyzed and had an intracortical recording array implanted in the primary motor cortex M1. ...
doi:10.3390/brainsci11010043
pmid:33401571
fatcat:6w2swr23qffndeogg6hewvfjoa
Brain–computer interfaces for communication and control
2002
Clinical Neurophysiology
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Over the past 15 years, productive BCI research programs have arisen. ...
Present-day BCIs determine the intent of the user from a variety of different electrophysiological signals. ...
of Health (NIH) in the USA, by the Deutsche Forschungsgemeinschaft (DFG) in Germany, and by the Fonds zur Förderung der wissenschaftlichen Forschung in Austria. ...
doi:10.1016/s1388-2457(02)00057-3
pmid:12048038
fatcat:awoe7qbbrvha3h2fyqtcenecfy
Brain-computer interfaces for communication and control
2011
Communications of the ACM
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Over the past 15 years, productive BCI research programs have arisen. ...
Present-day BCIs determine the intent of the user from a variety of different electrophysiological signals. ...
of Health (NIH) in the USA, by the Deutsche Forschungsgemeinschaft (DFG) in Germany, and by the Fonds zur Förderung der wissenschaftlichen Forschung in Austria. ...
doi:10.1145/1941487.1941506
pmid:21984822
pmcid:PMC3188401
fatcat:keijyl7gind2pnkzzio64lkwuy
Emulation of computer mouse control with a noninvasive brain–computer interface
2008
Journal of Neural Engineering
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sequential control of a robotic arm or a neuroprosthesis. ...
The user's task was to use EEG to move a cursor from the center of the screen to the correct target and then to use an additional EEG feature to select the target. ...
This work was supported in part by grants from NIH (HD30146 (NCMRR, NICHD) and EB00856 (NIBIB and NINDS)) and the James S McDonnell Foundation. ...
doi:10.1088/1741-2560/5/2/001
pmid:18367779
pmcid:PMC2757111
fatcat:3vuph4w44vfn7kgahe6tgtg7rq
A binary method for simple and accurate two-dimensional cursor control from EEG with minimal subject training
2009
Journal of NeuroEngineering and Rehabilitation
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(2-D) control of a cursor on a computer screen, with simple threshold-based binary classification of band power readings taken over pre-defined time windows during subject hand movement. ...
The best subject achieved a control accuracy of 96%, with only one incorrect bit classification out of 47. ...
Acknowledgements This research was supported by the Intramural Research Program of the NIH (National Institute of Neurological Disorders and Stroke). We thank Dr. ...
doi:10.1186/1743-0003-6-14
pmid:19419576
pmcid:PMC2683855
fatcat:tesc3pg4bfcgzoxh53h23364za
Brain Computer Interfaces for Cerebral Palsy
[chapter]
2014
Cerebral Palsy - Challenges for the Future
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Invasive techniques such single-neuron recording and ECoG take recordings over the cortex while single-neuron recording records the activity within the cortex, ECoG records the activity over the cortical ...
Figure 2 . 2 Exemplification on EEG (a), ECoG (b) and Single-neuron recording (c) electrode placement over the head
Figure 3 . 3 Examples of non-invasive BCI, with visual stimuli and virtual control ...
doi:10.5772/57084
fatcat:jc6kxnvmpzakthwardmpxfcqou
Progress in EEG-Based Brain Robot Interaction Systems
2017
Computational Intelligence and Neuroscience
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Compared with other BCI applications, such as word speller, the development of these applications may be more challenging since control of robot systems via brainwaves must consider surrounding environment ...
The key issue of a BRI system is to identify human mental activities, by decoding brainwaves, acquired with an EEG device. ...
Acknowledgments This research work was funded by the National Natural Science Foundation of China under Grant no. 61473207. ...
doi:10.1155/2017/1742862
pmid:28484488
pmcid:PMC5397651
fatcat:fujnky5jgfespcz73zw2qzn44e
Developing a 3- to 6-state EEG-based brain-computer interface for a robotic manipulator control
[article]
2017
bioRxiv
pre-print
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The participants' ability to control the BCI is quantified by using the percentage of successfully completed BCI tasks, the time required to complete a task, and the error rate. 2 participants were able ...
We further implement an online BCI system for control of a virtual 3 degree-of-freedom prosthetic manipulator and test it with our 3 best participants. ...
[24] reported results for a tetraplegic human patient implanted with a 96microelectrode array in the primary motor cortex area. ...
doi:10.1101/171025
fatcat:zip6k7fjzfepdlfq6pbe5bb65i
Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals
2020
Frontiers in Neuroscience
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The other was convolutional neural networks (CNNs) applied on the spatial, spectral and temporal features extracted from the MEG signals. ...
The neural pathway may be the only option to resume a certain level of communication for these patients. ...
Daragh Heitzman, Kristin Teplansky, Saara Raja, and the volunteering participants. ...
doi:10.3389/fnins.2020.00290
pmid:32317917
pmcid:PMC7154084
fatcat:o7exd5plyjhfnmitlt7qnotf34
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