Approximate Entropy in the Electroencephalogram during Wake and Sleep

  • Burioka N
  • Miyata M
  • Cornélissen G
 et al. 
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Abstract

Entropy measurement can discriminate among complex systems, including deterministic, stochastic and composite systems. We evaluated the changes of approximate entropy (ApEn) in signals of the electroencephalogram (EEG) during sleep. EEG signals were recorded from eight healthy volunteers during nightly sleep. We estimated the values of ApEn in EEG signals in each sleep stage. The ApEn values for EEG signals (mean +/- SD) were 0.896 +/- 0.264 during eyes-closed waking state, 0.738 +/- 0.089 during Stage I, 0.615 +/- 0.107 during Stage II, 0.487 +/- 0.101 during Stage II, 0.397 +/- 0.078 during Stage IV and 0.789 +/- 0.182 during REM sleep. The ApEn values were found to differ with statistical significance among the six different stages of consciousness (ANOVA, p

Author-supplied keywords

  • Approximate
  • Electroencephalography
  • Entropy
  • Key Words
  • Nonlinear Analysis
  • Sleep Stage
  • System Complexity

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Authors

  • Naoto Burioka

  • Masanori Miyata

  • Germaine Cornélissen

  • Franz Halberg

  • Takao Takeshima

  • Daniel T. Kaplan

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