Torres-Rodríguez I, Ferrer Riesgo CA, Velarde-Reyes E, Taboada-Crispi A (2019)
Publication Type: Conference contribution
Publication year: 2019
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)
ISBN: 9783030134686
DOI: 10.1007/978-3-030-13469-3_82
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.
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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