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Sample Entropy Evaluation of EEG complexity Based on Low Frequency Photon Stimulation in Light Sleep |
College of Automation, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China |
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Abstract Patients with sleep disorders have difficulties entering deep sleep from light sleep. It is important to research the changes of EEG during the light sleep for sleep efficiency and quality. In this paper, the EEG response during the light sleep under photon stimulation was studied by analyzing the EEG complexity changes, and the impact of photon stimulation on sleep EEG was studied as well. Ten volunteers’ EEG data during photon stimulation and normal sleep were gained by Neuroscan. Firstly, the EEG data of light sleep were obtained by using timefrequency analysis. Secondly, the theta waves, delta waves, alpha waves and the spindles were extracted from the EEG by using wavelet packet decomposition. Thirdly, the complexity of EEG and its components with different frequencies during the light sleep were calculated by using sample entropy. Lastly, the light sleep EEG complexity between normal sleep and photon stimulation(5 Hz)sleep was compared to research the impact of photon stimulation. We found the average value of EEG complexity under photon stimulation is 0514 15,significantly less than the average value of normal sleep, 0589 23, especially in central and parietal region(P<005). The conclusion is that photon stimulation(5Hz)can induce the synchronous response of EEG, and strengthen the EEG rhythm, which helps the brain enter deep sleep.
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