TRADITIONAL AVERAGING, WEIGHTED AVERAGING, AND ERPSUB FOR ERP DENOISING IN EEG DATA - A Comparison of the Convergence Properties
Andriy Ivannikov, Tommi Kärkkäinen, Tapani Ristaniemi, Heikki Lyytinen
2008
Abstract
In this article we compare the convergence rates at increase of the number of processed trials of the three methods applied nowadays in electroencephalography research to denoising of event-related potentials: traditional averaging, weighted averaging, and ERPSUB. We derive the weighted averaging procedure by maximizing signal-to-noise ratio in the averaged subject responses and show, thereby, that maximizing signal-to-noise ratio criterion is equivalent to minimizing the originally proposed mean-square error criterion in the sense of the weighted averaging problem solving. Moreover, in order to characterize fully the performance of the selected methods, we compare also noise reduction rates in estimates of event-related potentials provided by methods, while the number of processed trials increases.
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in Harvard Style
Ivannikov A., Kärkkäinen T., Ristaniemi T. and Lyytinen H. (2008). TRADITIONAL AVERAGING, WEIGHTED AVERAGING, AND ERPSUB FOR ERP DENOISING IN EEG DATA - A Comparison of the Convergence Properties . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 195-202. DOI: 10.5220/0001056901950202
in Bibtex Style
@conference{biosignals08,
author={Andriy Ivannikov and Tommi Kärkkäinen and Tapani Ristaniemi and Heikki Lyytinen},
title={TRADITIONAL AVERAGING, WEIGHTED AVERAGING, AND ERPSUB FOR ERP DENOISING IN EEG DATA - A Comparison of the Convergence Properties},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001056901950202},
isbn={978-989-8111-18-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - TRADITIONAL AVERAGING, WEIGHTED AVERAGING, AND ERPSUB FOR ERP DENOISING IN EEG DATA - A Comparison of the Convergence Properties
SN - 978-989-8111-18-0
AU - Ivannikov A.
AU - Kärkkäinen T.
AU - Ristaniemi T.
AU - Lyytinen H.
PY - 2008
SP - 195
EP - 202
DO - 10.5220/0001056901950202