Abstract

Event Abstract Back to Event Standardization of the measurement error in ERP recordings Antti Paukkunen1, 2*, M. Järvenpää1, 3, 4 and R. Sepponen1 1 Electronics Department, Helsinki University of Technology, Finland 2 Graduate School of Electrical and Communications Engineering, Helsinki University of Technology, Finland 3 Department of Psychology, Helsinki University, Finland 4 Finish Centre of Excellence in Interdisciplinary Music Research, Finland One of the greatest challenges preventing the use of event-related potentials (ERP) in clinical diagnostics is low reliability and repeatability of the average waveforms. Advances in the measurement technique, technology, analysis methodology and means of validating the data have increased the reliability, but the ambivalence of single-patient measurements is still high. The measurement error cannot be standardized without control over the total quality. Increased number of trials would improve the signal-to-noise-ratio of the grand average, but the disadvantage is the fatigue of the patients. The major issue is to decide the optimal number of trials.This study presents a novel recording procedure for ERP studies where the amount of recorded trials is automatically adjusted online according to the initial quality of the data and the desired quality of the measurement outcome. The process was simulated offline using prerecorded ERP data from a MMN study. The preliminary results suggest that the repeatability of the average waveform and, thus, the reliability of the measurement were improved. However, further testing is required before the online implementation. Conference: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications, Budapest, Hungary, 4 Apr - 7 Apr, 2009. Presentation Type: Poster Presentation Topic: Poster Presentations Citation: Paukkunen A, Järvenpää M and Sepponen R (2009). Standardization of the measurement error in ERP recordings. Conference Abstract: MMN 09 Fifth Conference on Mismatch Negativity (MMN) and its Clinical and Scientific Applications. doi: 10.3389/conf.neuro.09.2009.05.146 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 26 Mar 2009; Published Online: 26 Mar 2009. * Correspondence: Antti Paukkunen, Electronics Department, Helsinki University of Technology, Espoo, Finland, antti.paukkunen@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Antti Paukkunen M. Järvenpää R. Sepponen Google Antti Paukkunen M. Järvenpää R. Sepponen Google Scholar Antti Paukkunen M. Järvenpää R. Sepponen PubMed Antti Paukkunen M. Järvenpää R. Sepponen Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

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