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Sleep assisting system and method based on portable electroencephalogram equipment

An auxiliary system and portable technology, applied in medical science, psychological devices, sensors, etc., can solve the problems of lack of real-time utilization, such as improving sleep or relieving stress, so as to improve scalability, improve work efficiency, and improve satisfaction Effect

Pending Publication Date: 2020-11-24
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The inventor found that the current sleep research direction mainly stays in the acquisition of information, such as the assessment of mental status and sleep stages, and lacks the real-time utilization of information, that is, specific measures to improve sleep or relieve stress

Method used

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  • Sleep assisting system and method based on portable electroencephalogram equipment
  • Sleep assisting system and method based on portable electroencephalogram equipment
  • Sleep assisting system and method based on portable electroencephalogram equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] In the technical solutions disclosed in one or more embodiments, such as Figure 1-2 As shown, a sleep assistance system based on a portable EEG device, including a portable EEG device, a cloud server and a terminal;

[0032] Portable EEG device: configured to collect EEG data;

[0033] Cloud server: configured to perform sleep staging and mental state assessment based on EEG data, and send sleep staging results and mental state assessment results to the terminal;

[0034] Terminal: Execute corresponding sleep aid control according to the received sleep staging results, and adjust sleep aid control according to the real-time acquired mental state assessment results.

[0035] In this embodiment, a portable EEG device, a cloud server, and a multi-terminal collaboration are set up to realize intelligent sleep assistance, and the control of sleep assistance can be adjusted in real time through real-time sleep staging and mental state, and the sleep assistance can be adjust...

Embodiment 2

[0064] A sleep aid method based on a portable brain electric device, comprising the steps of:

[0065] S100: collecting EEG data;

[0066] S200: Perform sleep staging and mental state assessment based on EEG data, and send sleep staging results and mental state assessment results to the terminal;

[0067] S300: Execute corresponding sleep aid control according to the received sleep staging result, and adjust sleep aid control according to the mental state evaluation result obtained in real time.

[0068] This embodiment adjusts the control of sleep assistance in real time through real-time sleep stages and mental state, and can adjust the measures of sleep assistance in real time according to the change of mental state during the adjustment process, can realize personalized recommendation, and can improve the working efficiency of the sleep assistance system , while improving user satisfaction.

[0069] Wherein, the EEG data can be collected by a portable EEG device.

[007...

Embodiment 3

[0080] A method for assisting sleep based on a portable EEG device, the method is implemented in the cloud server described in Embodiment 1, comprising the steps of:

[0081] S101: Receive and save the original EEG waveform data, perform feature extraction on the original EEG waveform data to obtain feature data;

[0082] S102: Based on the feature data, input to the trained data analysis model to stage the sleep;

[0083] S103: Determine whether the user has entered the sleep stage according to the sleep staging results. If the user has entered the sleep stage, continue the sleep stage; The mental state of the user is assessed.

[0084] In step S101, time-domain and frequency-domain analysis methods can be used for feature extraction; EMD algorithm and wavelet transform can also be used for feature extraction. Those skilled in the art can set it by themselves according to the actual model.

[0085] Optionally, the data analysis model may be any form of neural network, whic...

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Abstract

The invention provides a sleep assisting system and method based on portable electroencephalogram equipment. The sleep assisting system comprises the portable electroencephalogram equipment, a cloud server and a terminal. The portable electroencephalogram equipment is configured to collect electroencephalogram data; the cloud server is configured to perform sleep staging and mental state evaluation according to the electroencephalogram data and send a sleep staging result and a mental state evaluation result to the terminal; and the terminal executes corresponding sleep auxiliary control according to the received sleep staging result, and adjusts the sleep auxiliary control according to the mental state evaluation result obtained in real time. Sleep intelligent assistance is achieved through the arrangement of the portable electroencephalogram device, the cloud server and the terminal in a multi-terminal cooperation mode, sleep assistance control is adjusted in real time through real-time sleep staging and mental state, sleep assistance measures can be adjusted in real time according to mental state changes in the adjusting process, personalized recommendation can be achieved, andthe user experience is improved. The working efficiency of the sleep assisting system can be improved, and meanwhile the user satisfaction is improved.

Description

technical field [0001] The present disclosure relates to the technical field related to sleep assistance devices, and in particular, relates to a sleep assistance system and method based on a portable brain-electrical device. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] As the pace of life accelerates, more and more people are troubled by sleep problems. In the existing clinical sleep analysis, experts mainly use EEG signals to divide sleep into stages according to the R&K sleep staging rules, and judge the user's sleep state. As a representative equipment for EEG signal acquisition, multi-channel EEG monitoring equipment has the characteristics of accurate monitoring and diversified monitoring information. Compared with mobile device microphones, traditional monitoring methods such as accelerometers and photosensitive sensors can o...

Claims

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Application Information

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IPC IPC(8): A61B5/0476A61B5/16
CPCA61B5/4812A61B5/165
Inventor 孔祥玉卢雨洁张盼盼刘晋宇郑向伟魏艺
Owner SHANDONG NORMAL UNIV
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