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Akademický článek
Bootstrap Signal-to-Noise Confidence Intervals: An Objective Method for Subject Exclusion and Quality Control in ERP Studies
Autor: Nathan A Parks, Matthew A Gannon, Stephanie M Long, Madeleine E Young
Publikováno v: Frontiers in Human Neuroscience, Vol 10 (2016)
Analysis of event-related potential (ERP) data includes several steps to ensure that ERPs meet an appropriate level of signal quality. One such step, subject exclusion, rejects subject data if ERP waveforms fail to meet an appropriate level of signal
Externí odkaz: https://doaj.org/article/63cab1afb753428f9ca48ee5705944e2
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2
Bootstrap Signal-to-Noise Confidence Intervals: An Objective Method for Subject Exclusion and Quality Control in ERP Studies
Autor: Madeleine E. Young, Stephanie Long, Nathan A. Parks, Matthew Gannon
Publikováno v: Frontiers in Human Neuroscience
Frontiers in Human Neuroscience, Vol 10 (2016)
Analysis of event-related potential (ERP) data includes several steps to ensure that ERPs meet an appropriate level of signal quality. One such step, subject exclusion, rejects subject data if ERP waveforms fail to meet an appropriate level of signal
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8502d15cc05630a8764c97b122b56ad5
https://doi.org/10.3389/fnhum.2016.00050
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