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right-hand motor imagery

Classification of Motor Imagery Right and Left Hand Movement EEG Signals for BCI Application Based on Statistical Analysis

Classification of Motor Imagery Right and Left Hand Movement EEG Signals for BCI Application Based on Statistical Analysis

... and right- hand motor imagery movement are available in a run, and 42 events ( 21 for each left and right-hand motor imagery movement) obtained in a subject in the ...

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Multiclass EEG motor imagery classification with sub band common spatial patterns

Multiclass EEG motor imagery classification with sub band common spatial patterns

... decode motor imagery-based brain signals for multiclass classification due to their non-stationary ...for motor imagery movement using sub-band common spatial patterns with sequential feature ...

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EEG oscillatory patterns and classification of sequential compound limb motor imagery

EEG oscillatory patterns and classification of sequential compound limb motor imagery

... with hand imagery ...prior hand imagery and subsequent hand imagery on the same ...other hand, no ERD phenomenon was observed in the foot area during sub-movement ...

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EEG feature comparison and classification of simple and compound limb motor imagery

EEG feature comparison and classification of simple and compound limb motor imagery

... left hand, right hand, feet, both hands, left hand combined with right foot, right hand combined with left foot and rest are rep- resented by LH, RH, F, BH, LH&RF, ...

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Relationship between Motor Skill Impairments and Motor Imagery Ability in Children with Autism Spectrum Disorders: A Pilot Study Using the Hand Rotation Task

Relationship between Motor Skill Impairments and Motor Imagery Ability in Children with Autism Spectrum Disorders: A Pilot Study Using the Hand Rotation Task

... that motor imagery ability, which refers to the mental simulation ability of any motor act without motor execution, is reflective of one’s ability to accurately form and manipulate internal ...

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Motor imagery of the unaffected hand in children with spastic hemiplegia

Motor imagery of the unaffected hand in children with spastic hemiplegia

... of motor imagery, as individuals imagine moving their own hand into the position of the presented stimulus in order to decide its handedness (de Lange, Hagoort, & Toni, 2005; Parsons, 1987; ...

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Hand Movement Classification Using Motor Imagery EEG

Hand Movement Classification Using Motor Imagery EEG

... of motor imagery EEG, which can be shown is a new way of communication for these ...patients. Motor imagery data for hand movement classification like left hand & ...

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Common Spatial Patterns Feature Extraction and Support Vector Machine Classification for Motor Imagery with the SecondBrain

Common Spatial Patterns Feature Extraction and Support Vector Machine Classification for Motor Imagery with the SecondBrain

... 2. 2. Experimental Setup Based on the Berlin BCI Competition website, there have been five healthy patients labeled with aa, al, av, aw and ay. The subjects were in a comfortable enviorment, sitting on a chair while ...

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Classification of Motor Imagery Based EEG Signals

Classification of Motor Imagery Based EEG Signals

... (left hand or right ...based Motor Imagery Classification using SVM and MLP ...on Motor Imagery grouping of left hand and foot, left hand and right ...

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Robust Spatial Filters on Three Class Motor Imagery EEG Data Using Independent Component Analysis

Robust Spatial Filters on Three Class Motor Imagery EEG Data Using Independent Component Analysis

... one hand, lots of trials, including motor imagery state or rest state [5], were commonly used to optimize ICA spatial ...other hand, ICA is an unsupervised algorithm [6], so there is no ...

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Classification of motor imagery movements using multivariate empirical mode decomposition and short time Fourier transform based hybrid method

Classification of motor imagery movements using multivariate empirical mode decomposition and short time Fourier transform based hybrid method

... clear that two signals do not have same range of oscillations at the same time indicating the signals are effective in different times. To separate them by extracting suitable features, we need to look for the ...

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Testing the potential of a virtual reality neurorehabilitation system during performance of observation, imagery and imitation of motor actions recorded by wireless functional near-infrared spectroscopy (fNIRS)

Testing the potential of a virtual reality neurorehabilitation system during performance of observation, imagery and imitation of motor actions recorded by wireless functional near-infrared spectroscopy (fNIRS)

... in motor imagery performance, physiological and anatomical differ- ences, require further ...as hand side, i.e. left or right hand used during motor or imagery tasks, need ...

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The Mind’s Eye: Functional MR Imaging Evaluation of Golf Motor Imagery

The Mind’s Eye: Functional MR Imaging Evaluation of Golf Motor Imagery

... by hand around 137 differ- ent areas for both right and left cerebral and cerebellar hemi- spheres over the 16 brain sections: frontal, temporal, parietal, occipital, supplementary motor area, ...

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Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline

... left hand motor imagery classification performance was lowest of the tested mental ...left hand motor imagery with a rest ...(right hand, both feet, rest) exceeded ...

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The relationship between corticospinal excitability during motor imagery and motor imagery ability

The relationship between corticospinal excitability during motor imagery and motor imagery ability

... the motor cortex during action observation and motor imagery results in increases in the amplitude of motor evoked potentials (MEPs) in muscles specific to the observed or imagined ...the ...

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Recovery of hand function through mental practice: A study protocol

Recovery of hand function through mental practice: A study protocol

... Motor imagery ability is assessed using a range of ...in motor imagery ability needs to be quantified, as this ability may vary depending on the lesion site [51] and hand function ...

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Exploiting the heightened phase synchrony in patients with neuromuscular disease for the establishment of efficient motor imagery BCIs

Exploiting the heightened phase synchrony in patients with neuromuscular disease for the establishment of efficient motor imagery BCIs

... The experimental procedure required the subjects to im- agine the movement of their left or right hand. Prior to the MI task, a 3 min recording of resting state was real- ized. The cue for the initiation of ...

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Identification of Motor Imagery Movements from EEG Signals Using Automatically Selected Features in the Dual Tree Complex Wavelet Transform Domain

Identification of Motor Imagery Movements from EEG Signals Using Automatically Selected Features in the Dual Tree Complex Wavelet Transform Domain

... The EEG data set has 140 trials each for left and right hand (total 280 trials) of 9 seconds length. Since the cue was given at t=3 sec, data segment after 3 seconds from C3 and C4 channels are used for ...

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Multi level voting method to classify 
		motor imagery EEG signals

Multi level voting method to classify motor imagery EEG signals

... A Brain-Computer Interface (BCI) system allows one to communicate without any overt muscle movement. Electroencephalogram (EEG) is one of the most popular techniques to record brain activity. This paper proposes the ...

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Dynamic causal modelling for functional near-infrared spectroscopy

Dynamic causal modelling for functional near-infrared spectroscopy

... during motor execution and imagery were acquired using a continuous wave fNIRS instrument (NIRScout, NIRx, Medizintechnik, GmbH, ...plementary motor area (SMA) and primary motor cortex (M1) of ...

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