Real-time sleeping point detection method and system based on energy judgment and sleep aiding device

A point detection and sleep technology, applied in the field of sleep detection, can solve the problems that the real-time and accuracy cannot meet the requirements of sleep point, the detection result is delayed and misjudged, and the detection time window is long. The effect of high accuracy and reliability

Pending Publication Date: 2022-06-03
浙江柔灵科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this solution is not a real-time detection technology. The time window for sleep judgment is 20 minutes. If the detection time window is too long, the detection results may easily cause delay and misjudgment.
Therefore, the real-time and accuracy of detection cannot meet the requirements of sleep point detection.

Method used

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  • Real-time sleeping point detection method and system based on energy judgment and sleep aiding device
  • Real-time sleeping point detection method and system based on energy judgment and sleep aiding device
  • Real-time sleeping point detection method and system based on energy judgment and sleep aiding device

Examples

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Embodiment 1

[0063] Embodiment 1 of the present invention discloses a real-time sleep point detection method based on energy judgment. For the signals collected by the single-channel EEG of the prefrontal lobe Fp1-Fp2, the energy difference and duration of the Theta frequency band and the Alpha frequency band are calculated in real time with a sliding window, Combining the general optimal energy threshold parameters and duration parameters to determine the sleep point. The upgrade method flow diagram is attached to the manual figure 1 As shown, the specific scheme is as follows:

[0064] A real-time sleep point detection method based on energy judgment, the method comprises the following steps:

[0065] 101. Collect real-time EEG signals of the user's prefrontal lobe for a preset duration through electrodes;

[0066] 102. Perform filtering and down-sampling processing on the real-time EEG signal to obtain a first EEG signal, and perform artificial artifact judgment on the first EEG signa...

Embodiment 2

[0093] Embodiment 2 of the present invention discloses a real-time sleep point detection system based on energy judgment. A sleep point detection method in Embodiment 1 is systematized. The specific structure of the system is shown in the appendix of the description. Image 6 As shown, the specific scheme is as follows:

[0094] A real-time sleep point detection system based on energy judgment, comprising:

[0095] The acquisition unit 1 is used for acquiring real-time EEG signals of the user's prefrontal lobe for a preset duration through electrodes. The acquisition unit 1 will continue to collect the EEG signals of the user's prefrontal lobe until it is determined that the user falls asleep.

[0096] Preprocessing unit 2: used to filter and downsample the real-time EEG signal to obtain the first EEG signal, and perform artificial artifact judgment on the first EEG signal;

[0097] Sliding window unit 3: if the first EEG signal is a non-artificial artifact, process the firs...

Embodiment 3

[0113] This embodiment discloses a sleep aid device, which combines the real-time sleep-onset point detection method based on energy judgment in Embodiment 1 with a sleep aid device. The specific plans are as follows:

[0114] A sleep aid device includes a sleep aid device and a sleep detection device.

[0115] A sleep aid device, used to help users fall asleep with a preset sleep aid program.

[0116] A sleep detection device is configured to execute a real-time sleep point detection method based on energy judgment of Embodiment 1 after the sleep aid device is started; and after detecting that the user has fallen asleep, turn off the sleep aid device.

[0117] Sleep aid devices such as vibrating beds, sleep aid function pillows, etc. Sleep aid programs include but are not limited to some sleep intervention methods. When the sleep detection device detects the user's sleep point, it will turn off the sleep aid device.

[0118] This embodiment provides a sleep aid device, whi...

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Abstract

The invention provides a real-time falling-asleep point detection method and system based on energy judgment and a sleep aiding device. The method comprises the following steps: collecting a real-time electroencephalogram signal of a forehead lobe of a user through an electrode; carrying out filtering and downsampling processing, and carrying out artificial artifact judgment; if the artifacts are non-artificial artifacts, the electroencephalogram signals are processed through a sliding window, the relative power ratio is calculated based on the fast Fourier transform result, band-pass filtering and slow wave filtering of the Theta frequency band and the Alpha frequency band are conducted respectively, and whether the user falls asleep or not is judged based on the preset optimal energy threshold parameter and the preset duration parameter. According to the scheme of the invention, the falling-asleep point can be accurately identified, the real-time performance, the accuracy and the reliability are relatively high, and the method can be conveniently combined with some sleep intervention means to help the user to fall asleep more quickly and obtain higher-quality sleep.

Description

technical field [0001] The invention relates to the field of sleep detection, in particular to a real-time sleep-onset point detection method, system and sleep aid device based on energy judgment. Background technique [0002] About one-third of a person's life is spent on sleep. The main function of sleep is to maintain and regulate the balance of important systems in the body. Poor sleep quality and lack of sleep will affect all aspects of the body's functions, thereby affecting work and life. [0003] The point of falling asleep and the time it takes to fall asleep are important criteria for judging sleep quality, so the technology of falling asleep point detection is very important. Real-time and accurate sleep point judgment can be combined with some sleep closed-loop intervention methods to assist some sleep aids such as music, pink noise, aromatherapy, etc. to help people fall asleep faster and obtain higher sleep quality. Sleeping point detection requires high real...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/369A61B5/374A61M21/02
CPCA61B5/4812A61B5/4809A61B5/369A61B5/374A61B5/7257A61B5/725A61B5/7235A61M21/02A61M2230/10A61M2230/005
Inventor 曹琪琪刘冰万力
Owner 浙江柔灵科技有限公司
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