Archive | 2019
Sleep Staging Based on Energy and Complexity Characteristics of Sleep EEG Signals
Abstract
Nowadays, people s sleep problems become more and more serious with the increase of pressure in social life. Sleep staging is the key step in the diagnosis of sleep diseases. The traditional manual staging has the drawbacks of consuming manpower and time, and the standard is difficult to unify. In order to effectively realize automatic sleep staging, a sleep staging method based on EEG energy characteristics and complexity is proposed in this paper. Because the complexity of EEG signal and the energy of each characteristic wave change regularly with the different sleep period, sleep period can be distinguished effectively based on these features. Firstly, FIR band-pass filter is used to extract the characteristic wave from EEG signal and calculate its energy. Then the complexity of each sleep period is calculated. Finally, the improved support vector machine is used to classify the sleep stage. The experimental results show that the method proposed in this paper is simple and effective, and has good clinical application value.