How capable is non-invasive EEG data of predicting the next movement? A mini review - Wikidata - wikimedia - TriplyDB

How capable is non-invasive EEG data of predicting the next movement? A mini review

How capable is non-invasive EEG data of predicting the next movement? A mini review

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A Review of Techniques for Detection of Movement Intention Using Movement-Related Cortical Potentials Quality parameters for a multimodal EEG/EMG/kinematic brain-computer interface (BCI) aiming to suppress neurological tremor in upper limbs.Towards effective non-invasive brain-computer interfaces dedicated to gait rehabilitation systems.A review of brain-computer interface games and an opinion survey from researchers, developers and users.Localizing movement-related primary sensorimotor cortices with multi-band EEG frequency changes and functional MRI Methodological aspects of EEG and body dynamics measurements during motion.Event-Related Potentials in a Cued Go-NoGo Task Associated with Executive Functions in Adolescents with Autism Spectrum Disorder; A Case-Control Study.How Electroencephalogram Reference Influences the Movement Readiness Potential?

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How capable is non-invasive EEG data of predicting the next movement? A mini review

http://www.wikidata.org/entity/Q30615482

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2013 nî lūn-bûn

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2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2013 թվականի ապրիլին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

@wuu

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How capable is non-invasive EEG data of predicting the next movement? A mini review

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How capable is non-invasive EEG data of predicting the next movement? A mini review

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How capable is non-invasive EEG data of predicting the next movement? A mini review

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How capable is non-invasive EEG data of predicting the next movement? A mini review

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How capable is non-invasive EEG data of predicting the next movement? A mini review

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How capable is non-invasive EEG data of predicting the next movement? A mini review

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FNHUM.2013.00124

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Frontiers in Human Neuroscience

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How capable is non-invasive EEG data of predicting the next movement? A mini review

@en

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Luca Ascari

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Pouya Ahmadian

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The effects of self-movement, observation, and imagination on mu rhythms and readiness potentials (RP's): toward a brain-computer interface (BCI)

BCI Competition 2003--Data set IV: an algorithm based on CSSD and FDA for classifying single-trial EEG.

Invasive recordings from the human brain: clinical insights and beyond.

Motor prediction.

Detection of self-paced reaching movement intention from EEG signals.

Classifying EEG signals preceding right hand, left hand, tongue, and right foot movements and motor imageries.

Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans.

Prediction of human voluntary movement before it occurs

Motor activation prior to observation of a predicted movement.

Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis.

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124

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scholarly article

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10.3389/FNHUM.2013.00124

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7

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Stefano Cagnoni

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2013-04-08T00:00:00Z

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235994023

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23579176

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3619112

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