Richard B. Reilly

TL;DR: A method for the automatic processing of the electrocardiogram (ECG) for the classification of heartbeats and results are an improvement on previously reported results for automated heartbeat classification systems.

TL;DR: FASTER (Fully Automated Statistical Thresholding for EEG artifact Rejection) had >90% sensitivity and specificity for detection of contaminated channels, eye movement and EMG artifacts, linear trends and white noise, and aggregates the ERP across subject datasets, and detects outlier datasets.

TL;DR: Bilateral flickering stimuli were presented simultaneously and continuously over entire trial blocks, such that externally evoked alpha desynchronization is equated in precue baseline and postcue intervals and suggests that alpha synchronization reflects an active attentional suppression mechanism, rather than a passive one reflecting "idling" circuits.

TL;DR: The results of this study show that the performance of a patient adaptable classifier increases with the amount of training of the system on the local record and the performance can be significantly boosted with a small amount of adaptation.

TL;DR: The performance of the BCI was found to be robust to distracting visual stimulation in the game and relatively consistent across six subjects, with 41 of 48 games successfully completed.