Expert and crowd-sourced validation of an individualized sleep spindle detection method employing complex demodulation and individualized normalization

A spindle detection method was developed that: 1) extracts the signal of interest (i.e., spindle-related phasic changes in sigma) relative to ongoing background sigma activity using complex demodulation, 2) accounts for variations of spindle characteristics across the night, scalp derivations and be...

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Bibliographic Details
Main Authors: Laura eRay, Stéphane eSockeel, Melissa eSoon, Arnaud eBore, Ayako eMyhr, Bobby eStojanoski, Rhodri eCusack, Adrian M Owen, Julien eDoyon, Stuart eFogel
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-09-01
Series:Frontiers in Human Neuroscience
Subjects:
EEG
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2015.00507/full