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Sleep cycle detection method and sleep cycle detection system in sleep state analysis

A sleep cycle and detection method technology, which is applied in the field of sleep aids, can solve the problems of interference, low accuracy, and difficulty in accurate detection, and achieve the effect of avoiding interference and high accuracy

Active Publication Date: 2017-01-18
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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Problems solved by technology

Therefore, when using a computer to conduct sleep analysis and research on EEG signals, the traditional method is easily affected by interference, and it is difficult to accurately detect which period of non-rapid eye movement sleep S2-S4 the user is currently in, and the accuracy rate is low

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  • Sleep cycle detection method and sleep cycle detection system in sleep state analysis
  • Sleep cycle detection method and sleep cycle detection system in sleep state analysis
  • Sleep cycle detection method and sleep cycle detection system in sleep state analysis

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Embodiment Construction

[0026] Embodiments of the sleep cycle detection method and system in the sleep state analysis of the present invention will be described below with reference to the accompanying drawings.

[0027] refer to figure 1 as shown, figure 1 It is a flowchart of a sleep cycle detection method in the sleep state analysis of an embodiment, including:

[0028] 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;

[0029] 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.

[0030] Clinically, the appearance of K complex wave is a typical sign of ...

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Abstract

The invention relates to a sleep cycle detection method and a sleep cycle detection system in sleep state analysis. The method comprises the following steps of: performing wavelet decomposition for electroencephalogram generated during the sleep process of a user, rebuilding electroencephalogram according to a preset wavelet coefficient of a low frequency band, and obtaining low-frequency electroencephalogram; extracting a brain wave from the rebuilt low-frequency electroencephalogram; detecting a K comprehensive wave in the brain wave according to a waveform characteristic of the K comprehensive wave, and when the K comprehensive wave is detected, determining that the user currently stays at a cycle S2 of non-rapid eye movement sleep; detecting a delta wave from the brain wave according to the waveform characteristic of the delta wave, and counting the number of the detected delta waves; and determining cycles S3 and S4 of non-rapid eye movement sleep of the user according to the number of the delta waves. By adopting the technical scheme, the electroencephalogram can be prevented from being interfered, whether the user currently stays at a cycle S2 to S4 of the non-rapid eye movement of the user can be accurately detected, and the accuracy is higher.

Description

technical field [0001] The invention relates to the technical field of sleep assistance, in particular to a sleep cycle 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] Polysomnography (PSG), also known as sleep EEG, is currently the "gold standard" for clinical sleep diagnosis and analysis. Polysomnography uses a variety of vital signs to analyze sleep. Among these signs, EEG is at the core; four rhythms of EEG are used: delta waves (1-3Hz), theta waves (4-7Hz), alpha Wave (8-12Hz), frequency characteristics of beta wave (14-30Hz). According to the characteristics of brain waves and eye movements of different rhythms, sleep can ...

Claims

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Application Information

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IPC IPC(8): A61B5/0476A61B5/0496A61B5/00
CPCA61B5/4809A61B5/4815A61B5/6802A61B5/7203A61B5/7235A61B5/316A61B5/369A61B5/398
Inventor 赵巍胡静韩志
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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