Evaluating and Improving Automatic Sleep Spindle Detection by Using Multi-Objective Evolutionary Algorithms
Sleep spindles are brief bursts of brain activity in the sigma frequency range (11–16 Hz) measured by electroencephalography (EEG) mostly during non-rapid eye movement (NREM) stage 2 sleep. These oscillations are of great biological and clinical interests because they potentially play an important r...
Main Authors: | Min-Yin Liu, Adam Huang, Norden E. Huang |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2017-05-01
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Series: | Frontiers in Human Neuroscience |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fnhum.2017.00261/full |
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