Improving ensemble averaging by epoch detrending in evoked potentials

Torres-Rodríguez I, Ferrer Riesgo CA, Velarde-Reyes E, Taboada-Crispi A (2019)

Publication Type: Conference contribution

Publication year: 2019

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Verlag

Book Volume: 11401 LNCS

Pages Range: 707-714

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Madrid ES

ISBN: 9783030134686

DOI: 10.1007/978-3-030-13469-3_82

Abstract

The objective of this work is to evaluate different detrending methods in the quality of auditory evoked responses. We compared the average responses obtained by simply removing the DC level and the linear trend, and also the estimated trends using polynomials and Fourier models up to the 8th order. Two quality measures were used to compare the results: The standard deviation ratio, as a measure of the signal-to-noise ratio, and the correlation coefficient between consecutive responses obtained under the same experimental conditions. The best results were obtained using a polynomial model of order 7.

Authors with CRIS profile

Carlos Ariel Ferrer Riesgo Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Universidad Central "Marta Abreu" de Las Villas CU Cuba (CU) Cuban Neuroscience Center (CNEURO) CU Cuba (CU)

How to cite

APA:

Torres-Rodríguez, I., Ferrer Riesgo, C.A., Velarde-Reyes, E., & Taboada-Crispi, A. (2019). Improving ensemble averaging by epoch detrending in evoked potentials. In Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 707-714). Madrid, ES: Springer Verlag.

MLA:

Torres-Rodríguez, Idileisy, et al. "Improving ensemble averaging by epoch detrending in evoked potentials." Proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, Madrid Ed. Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales, Springer Verlag, 2019. 707-714.

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