Reference estimation in EEG recordings
- 1 August 2010
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 39 (1094687X) , 5371-5374
Abstract
This work aims to analyze the reference (montage) problem in electroencephalographic (EEG) recordings. It is well accepted that EEG signals are a mixture of cerebral and extracerebral sources, and the solution to the reference problem depends on the hypothesized mixing model. We focus here on an acquisition model using a distant reference electrode and propose a method for determining and eliminating the reference signal which develops and improves Hu et al. work from [1]. The obtained solution, based on a constrained blind source separation (BSS) algorithm, outperforms the cited method on simulated noisy EEG signals for all noise levels.Keywords
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