Sleeping state detection method and system in sleeping state analysis

A sleep state and detection method technology, applied in the field of sleep assistance, can solve problems such as low accuracy rate and susceptibility to interference, and achieve high accuracy rate

Active Publication Date: 2017-02-08
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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Problems solved by technology

[0004] Therefore, when computer is used for sleep analysis and research on EEG signals, wavelet decomposition and reconstruction of EEG signals are generally carried out to obtain four basic frequency bands of EEG signals (δ wave frequency band, θ wave frequency band, α wave frequency band and β wave frequency band). Wave frequency band) signals, sleep state recognition is carried out by extracting signal features, this method is easily affected by interference, resulting in low accuracy of the trained recognition model for sleep state detection

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  • Sleeping state detection method and system in sleeping state analysis
  • Sleeping state detection method and system in sleeping state analysis
  • Sleeping state detection method and system in sleeping state analysis

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Embodiment Construction

[0025] Embodiments of the sleep state detection method and system in the sleep state analysis of the present invention will be described below with reference to the accompanying drawings.

[0026] refer to figure 1 as shown, figure 1 It is a flowchart of a sleep state detection method in the sleep state analysis of an embodiment, including:

[0027] S101, performing wavelet decomposition on the EEG signal generated by the user during sleep, and reconstructing the EEG signal according to the preset low-frequency wavelet coefficients to obtain the low-frequency EEG signal;

[0028] In the above steps, in the sleep state analysis of the user such as assisted sleep, the user wears the relevant sensor device to collect the EEG signal generated by the user during sleep; when collecting the EEG signal, it can be collected in a frame of 30s , to perform subsequent processing on each frame of the EEG signal.

[0029] In order to avoid the interference of high-frequency noise while r...

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Abstract

The invention relates to a sleeping state detection method and system in sleeping state analysis, wherein the method comprises the steps: carrying out wavelet decomposition on electroencephalogram signals generated by a user in the sleeping process, and reconstructing the electroencephalogram signals according to a preset wavelet coefficient in a low-frequency stage to obtain low-frequency electroencephalogram signals; extracting brain waves from the reconstructed low-frequency electroencephalogram signals; according to the wave characters of K complex waves and delta waves, detecting the K complex waves and delta waves in the brain waves; and counting the number of the K complex waves and delta waves detected, and when the number exceeds a preset number threshold, judging that the user is in the sleeping state currently. The technique disclosed by the invention can prevent electroencephalogram signals from being interfered and influencing the detection result, thereby having higher accuracy rate.

Description

technical field [0001] The invention relates to the technical field of sleep aids, in particular to a sleep state detection method and system in sleep state analysis. Background technique [0002] There are already some devices on the market to help people fall asleep and improve the quality of sleep. Sleep state analysis is an important means to understand the user's sleep quality, and in this process, it is necessary to detect the user's sleep state to accurately know whether the user is asleep. [0003] In general, the detection of sleep state is to identify EEG signals by training recognition models. Polysomnography uses a variety of vital signs to analyze sleep. Among these signs, EEG is at the core; using EEG 4 Rhythm: frequency characteristics of delta wave (1-3Hz), theta wave (4-7Hz), alpha wave (8-12Hz), beta wave (14-30Hz). Since the individual specificity of the EEG signal is very strong, and the intensity of the EEG is very weak (the EEG is at the microvolt lev...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/048A61B5/00A61B5/374
CPCA61B5/4809A61B5/374
Inventor 赵巍胡静韩志
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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