Med Biol Eng Comput - A unified treatment of the reference estimation problem in depth EEG recordings.

Tópicos

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Resumo

The starting point of this paper is the analysis of the reference problem in intra-cerebral electroencephalographic (iEEG) recordings. It is well accepted that both surface and depth EEG signals are always recorded with respect to some unknown time-varying signal called reference. This article discusses different methods for determining and reducing the influence of the reference signal for the iEEG signals. In particular, we derive optimal approaches for the estimation of the reference signal in iEEG recording setups and demonstrate their relation to the well-known minimum power/variance distortionless response approaches derived for general array and antenna signal processing applications. We show that the proposed approaches achieve optimal performance in terms of estimation error and that they outperform other reference identification methods proposed in the literature. The developed algorithms are illustrated on simulated examples and on real iEEG signals.

Resumo Limpo

start point paper analysi refer problem intracerebr electroencephalograph ieeg record well accept surfac depth eeg signal alway record respect unknown timevari signal call refer articl discuss differ method determin reduc influenc refer signal ieeg signal particular deriv optim approach estim refer signal ieeg record setup demonstr relat wellknown minimum powervari distortionless respons approach deriv general array antenna signal process applic show propos approach achiev optim perform term estim error outperform refer identif method propos literatur develop algorithm illustr simul exampl real ieeg signal

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