Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes

Detalles Bibliográficos
Autor principal: Martin, Dinov
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Poster Presentation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697472/
http://dx.doi.org/10.1186/1471-2202-16-S1-P63
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spelling pubmed-46974722016-01-11 Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes Martin, Dinov BMC Neurosci Poster Presentation BioMed Central 2015-12-18 /pmc/articles/PMC4697472/ http://dx.doi.org/10.1186/1471-2202-16-S1-P63 Text en Copyright © 2015 Martin http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Poster Presentation
Martin, Dinov
Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes
title Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes
title_full Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes
title_fullStr Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes
title_full_unstemmed Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes
title_short Using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during EEG time series prediction and for finding interesting EEG and fMRI changes
title_sort using dynamic time warping for quantifying effects of sinusoidal oscillation deviations during eeg time series prediction and for finding interesting eeg and fmri changes
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4697472/
http://dx.doi.org/10.1186/1471-2202-16-S1-P63
work_keys_str_mv AT martindinov usingdynamictimewarpingforquantifyingeffectsofsinusoidaloscillationdeviationsduringeegtimeseriespredictionandforfindinginterestingeegandfmrichanges

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