<p><b>(</b>A) Number of days with CA above chance level; (B) number of delivered sentences with CA above chance level; (C) maximum chance-level upper limit, calculated using the metric described in BCI effectiveness metric section; and (D) mean and standard deviation of CA above chance level, obtained using the <i>f</i>NIRS, EEG, and EOG signal data for patients F, G, B, and W. For the training sessions, the CA is reported for <i>f</i>NIRS, EEG, and EOG signals. For feedback and open question sessions, CA is only reported for the <i>f</i>NIRS signal because the feedback was provided using only the <i>f</i>NIRS signal as a result of superior CA of the <i>f</i>NIRS signal during the training sessions as compared to EEG and EOG signals. Table ...
Objective: To test whether 1) quantitative analysis of EEG reactivity (EEG-R) using machine learning...
<p>Classification quality during training is displayed on left panes A and C, quality during test is...
This study addresses two important problem statements, namely, selection of training datasets for on...
<p>Linear SVM CA across “training sessions—offline CA” (histogram in grey), “feedback sessions—onlin...
Brain-computer interface (BCI) systems are a promising means for restoring communication to patients...
Brain-computer interface (BCI) systems are a promising means for restoring communication to patients...
<p>Lists the daily wise EEG frequency domain results of each patient and also the averaged correlati...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
<p>Each circle indicates the individual result. Blue and red circles refer to the performance of EEG...
(A) Psychometric curves fitted on the psychophysical data for each participant in the EEG experiment...
<p>Brain activation at uncorrected (p<0.001) statistics for feedback session (FS) and no feedback se...
<p>The threshold for EEG cortical distributions is set 97% at source for each subject. The z score o...
<p>(A) Mean number of objects correctly guessed by the inquirer over 10 experimental (red) and 10 co...
National audienceMental-Imagery based Brain-Computer Interfaces (MI-BCIs) use brain signals produced...
Recent growth in brain-computer interface (BCI) research has increased pressure to report improved p...
Objective: To test whether 1) quantitative analysis of EEG reactivity (EEG-R) using machine learning...
<p>Classification quality during training is displayed on left panes A and C, quality during test is...
This study addresses two important problem statements, namely, selection of training datasets for on...
<p>Linear SVM CA across “training sessions—offline CA” (histogram in grey), “feedback sessions—onlin...
Brain-computer interface (BCI) systems are a promising means for restoring communication to patients...
Brain-computer interface (BCI) systems are a promising means for restoring communication to patients...
<p>Lists the daily wise EEG frequency domain results of each patient and also the averaged correlati...
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternati...
<p>Each circle indicates the individual result. Blue and red circles refer to the performance of EEG...
(A) Psychometric curves fitted on the psychophysical data for each participant in the EEG experiment...
<p>Brain activation at uncorrected (p<0.001) statistics for feedback session (FS) and no feedback se...
<p>The threshold for EEG cortical distributions is set 97% at source for each subject. The z score o...
<p>(A) Mean number of objects correctly guessed by the inquirer over 10 experimental (red) and 10 co...
National audienceMental-Imagery based Brain-Computer Interfaces (MI-BCIs) use brain signals produced...
Recent growth in brain-computer interface (BCI) research has increased pressure to report improved p...
Objective: To test whether 1) quantitative analysis of EEG reactivity (EEG-R) using machine learning...
<p>Classification quality during training is displayed on left panes A and C, quality during test is...
This study addresses two important problem statements, namely, selection of training datasets for on...