Non-linear analysis of EEG signals at various sleep stages

@article{Acharya2005NonlinearAO,
  title={Non-linear analysis of EEG signals at various sleep stages},
  author={U. Rajendra Acharya and Oliver Faust and N. Kannathal and TjiLeng Chua and Swamy Laxminarayan},
  journal={Computer methods and programs in biomedicine},
  year={2005},
  volume={80 1},
  pages={37-45}
}
Application of non-linear dynamics methods to the physiological sciences demonstrated that non-linear models are useful for understanding complex physiological phenomena such as abrupt transitions and chaotic behavior. Sleep stages and sustained fluctuations of autonomic functions such as temperature, blood pressure, electroencephalogram (EEG), etc., can be described as a chaotic process. The EEG signals are highly subjective and the information about the various states may appear at random in… CONTINUE READING

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