Accessibility navigation

Single-trial event-related potential analysis for brain-computer interfaces

Nicolaou, N., Nasuto, S.J. and Georgiou, J. (2008) Single-trial event-related potential analysis for brain-computer interfaces. In: AISB 2008, Aberdeen, UK, pp. 13-19.

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.


Abstract. Different types of mental activity are utilised as an input in Brain-Computer Interface (BCI) systems. One such activity type is based on Event-Related Potentials (ERPs). The characteristics of ERPs are not visible in single-trials, thus averaging over a number of trials is necessary before the signals become usable. An improvement in ERP-based BCI operation and system usability could be obtained if the use of single-trial ERP data was possible. The method of Independent Component Analysis (ICA) can be utilised to separate single-trial recordings of ERP data into components that correspond to ERP characteristics, background electroencephalogram (EEG) activity and other components with non- cerebral origin. Choice of specific components and their use to reconstruct “denoised” single-trial data could improve the signal quality, thus allowing the successful use of single-trial data without the need for averaging. This paper assesses single-trial ERP signals reconstructed using a selection of estimated components from the application of ICA on the raw ERP data. Signal improvement is measured using Contrast-To-Noise measures. It was found that such analysis improves the signal quality in all single-trials.

Item Type:Conference or Workshop Item (Paper)
Divisions:Life Sciences > School of Biological Sciences > Department of Bio-Engineering
ID Code:15038

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation