Single-lead electroencephalography (EEG) automatic sleep staging method

A sleep staging and EEG technology, applied in the field of sleep monitoring, can solve the problems of increasing the workload of experts, affecting sleep activities, and expensive PSG.

Inactive Publication Date: 2019-04-26
DALIAN UNIV OF TECH
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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 acquisi

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  • Single-lead electroencephalography (EEG) automatic sleep staging method
  • Single-lead electroencephalography (EEG) automatic sleep staging method
  • Single-lead electroencephalography (EEG) automatic sleep staging method

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Embodiment Construction

[0072] The present invention will be further described below in conjunction with accompanying drawing.

[0073] Such as figure 1 As shown, a single-lead EEG automatic sleep staging method comprises the following steps:

[0074] Step 1, signal preprocessing, considering that the original EEG signal contains various noise interference, so the original EEG signal should be preprocessed first, including the following sub-steps, such as figure 2 shown.

[0075] (A) Remove baseline drift, which belongs to low-frequency noise and is a non-stationary random signal. Based on the multi-resolution nature of wavelet transform, the method of wavelet decomposition and reconstruction is used to remove baseline drift; import EEG data x, and discretize x Wavelet decomposition, the first layer of decomposition to get the approximate coefficient C 1 and detail factor D 1 , where the approximation coefficient is mainly the low frequency part, and the detail coefficient is mainly the high fre...

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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...

Claims

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Application Information

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IPC IPC(8): A61B5/0476A61B5/00
CPCA61B5/4809A61B5/4812A61B5/4815A61B5/7203A61B5/7225A61B5/725A61B5/369
Inventor 刘蓉梁洪宇王永轩
Owner DALIAN UNIV OF TECH
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