Single-lead electroencephalography (EEG) automatic sleep staging method

Abstract

The invention belongs to the technical field of sleep monitoring, and relates to a single-lead electroencephalography (EEG) automatic sleep staging method. The method comprises the following steps: (1) performing signal pre-processing; (2) extracting classification features; (3) carrying out sleep staging. The method provided by the invention has the advantages that 1, a pre-processing algorithm is designed to obtain single-lead EEG signals with better quality; 2, the method extracts multiple features from the time domain, the frequency domain and the nonlinear domain, and screens out the representative features; 3, a random forest model is adopted, so that over-fitting does not need to be worried about; the method has a good anti-noise ability, and the staging results of all decision trees can be obtained, so that the confidence probabilities of the random forest for all sleep stages are obtained; 4, a D-S evidence theory is combined, so that the accuracy rate of the sleep staging isfurther improved.

Description

technical field [0001] The invention relates to a single-lead EEG automatic sleep staging method, which belongs to the technical field of sleep monitoring. Background technique [0002] Sleep is the need of life and one of the important physiological activities of people. According to the latest AASM standard of the American Academy of Sleep Medicine, sleep can be divided into awake period W, non-rapid eye movement periods N1, N2, N3, and rapid eye movement period REM, of which N1 and N2 are light sleep periods, and N3 is deep sleep period. Sufficient deep sleep time can greatly promote the relief of fatigue and improve work efficiency; the incidence of cardiovascular and cerebrovascular diseases also has a certain relationship with different sleep stages; It is not easy to be detected, but as the depth of sleep increases and the level of brain activity decreases, these lesions begin to appear, and the symptoms that appear in different sleep stages are also different. Ther...

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Problems solved by technology

Its shortcomings are: (1) using a large number of electrodes to wear on the subject's head, which makes the subject feel uncomfortable and affects their normal sleep activities; (2) PSG is relatively expensive and requires professional acquisition equipment and Appropriate experimental environment; (3) Experienced experts are required to carry out sleep staging, which takes a long time and increases the workload of experts; (4) The staging results contain certain subjective factors

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