Data III – Two-Class Motor Imagery
Brain-Computer Interface application: auditory serial interface to control a two-class motor-imagery-based wheelchair
... As mentioned in the Introduction, the navigation para- digm was similar to the one used in our group’s previous publications [24–26]. In this study, one experimental session was carried out in a VE (control of a virtual ...
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Robust Spatial Filters on Three Class Motor Imagery EEG Data Using Independent Component Analysis
... including motor imagery state or rest state [5], were commonly used to optimize ICA spatial ...of data acquisition and ...the class labels of the motor imagery ...single ...
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Application of Convolutional Neural Networks to Four-Class Motor Imagery Classification Problem
... convolutional, two pooling and two fully connected ...current motor imagery problem have been proposed over the years in ...a two-class motor imagery ...Fisher ...
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Classification of EEG Motor Imagery Multi Class Signals Based on Cross Correlation
... four motor imagery tasks (Left Hand, Right Hand, Both Feet and ...The data collection is divided into short runs where each run contains 48 trials of each of the motor imagery ...The ...
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Data space adaptation for multiclass motor imagery-based BCI
... enough data is provided, how- ever the improvement is not statistically ...the data space making it independent from the feature selection and classification used by ...
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Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification
... during motor imagery (MI) for motor area EEG and all-channels EEG in the Brain Computer Interface (BCI) ...present two algorithms: CC-LS-SVM and CC-LR for MI tasks ...These two ...
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Feature extraction of four-class motor imagery EEG signals based on functional brain network
... of two consecutive detections by comparing the current classification result with the previous ...the two classification results are the same, it is determined that the movement is correct, and the ...
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Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines
... intervention data was imported into statistical analysis software packages (SPSS versions 16 and 17 (SPSS ...intervention data was not pooled or analysed for significant differences because of the ...
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A New Class of Generalized Burr III Distribution for Lifetime Data
... new class of generalized Burr III distribution called the generalized gamma-Burr III distribution is proposed and ...combine two components in a serial system, so that the hazard function is ...
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Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification
... From the analysis of the mutual information matrix M for the different subjects we learn that, in general, the standard deviations of the paired calculation do not differ much when compared among classes (two ...
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Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data
... EEG motor imagery, read- ers can refer to Alotaiby ...i.e. class correlation [30], ReliefF [31, 32], random forest feature ranking [33], and infinite latent feature selection [34] and evaluating ...
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Classification of Motor Imagery Based EEG Signals
... Eeg Data EEG data for Motor Imaginary task accomplished by seven normal human subjects are acquired from BCI Competition IV Dataset ...choose two mental assignments to execute out of three ...
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Hyperalignment of motor cortical areas based on motor imagery during action observation
... between two set of response ...to data from two category perception experiments and found that the classification accuracy of the BSC obtained via Hyperalignment of ventral temporal cortex was ...
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Using Networks To Understand Medical Data: The Case of Class III Malocclusions
... of Class III malocclusion the skeletal vertical and sagittal growth features (SN-GoGn, PP-PM) are central in the interacting network of the system components: these nodes can be considered the ‘‘driver ...
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Two Brains, One Game: Design and Evaluation of a Multi-User BCI Video Game Based on Motor Imagery
... ON MOTOR IMAGERY We designed a multi-player video game concept called BrainArena, a football game controlled by hand motor im- ...of two users is to imagine left or right hand movements to ...
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Hand Movement Classification Using Motor Imagery EEG
... using motor imagery EEG. In this Paper the author is used to EEG motor imagery data for the study is dataset III available in BCI competition ...training data and 140 test ...
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Adaptation in p300 and motor imagery-based BCI systems
... training data and subject dependent clas- sifiers are two other problems of BCI systems we have ...used data collected in our laboratory as well as BCI competition ...EEG data from ...
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Motor imagery of the unaffected hand in children with spastic hemiplegia
... assessed a comparison group of left-handed children, and enabled us to compare directly the performance of the R-HEMI group. Two repeated-measures ANOVAs were conducted to compare the response probabilities of the ...
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Motor imagery of speech:the involvement of primary motor cortex in manual and articulatory motor imagery
... Motor Cortex Excitability Is Modulated During the Mental Simulation of Hand 587. Movement[r] ...
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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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