PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Bristle-sensors—low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications
Cristitan Grozea, Catalin D. Voinescu and Siamac Fazli
Journal of Neural Engineering Volume 8, Number 2, 025008, 2011.

Abstract

In this paper, we present a new, low-cost dry electrode for EEG that is made of flexible metal-coated polymer bristles. We examine various standard EEG paradigms, such as capturing occipital alpha rhythms, testing for event-related potentials in an auditory oddball paradigm and performing a sensory motor rhythm-based event-related (de-) synchronization paradigm to validate the performance of the novel electrodes in terms of signal quality. Our findings suggest that the dry electrodes that we developed result in high-quality EEG recordings and are thus suitable for a wide range of EEG studies and BCI applications. Furthermore, due to the flexibility of the novel electrodes, greater comfort is achieved in some subjects, this being essential for long-term use.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:9479
Deposited By:Benjamin Blankertz
Deposited On:16 March 2012