We present an automated sleep electroencephalogram (EEG) spectral analysis pipeline that includes an automated artifact detection step, and we test the hypothesis that spectral power density estimates computed with this pipeline are comparable to those computed with a commercial method preceded by visual artifact detection by a sleep expert (standard approach).
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OtoRhinoLaryngology by Alexandros G.Sfakianakis,,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,tel : 00302841026182,00306932607174
Τετάρτη 29 Νοεμβρίου 2017
Evaluation of an Automated Pipeline for Large Scale EEG Spectral Analysis: The National Sleep Research Resource
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