Method and system for judging sleep depth based on sternal manubrium anterior area brain waves

A brain wave and sleep technology, applied in diagnosis, hypnosis device, diagnostic recording/measurement, etc., can solve the problems of inaccurate sleep depth judgment data, inability to accurately push rest suggestions, etc., to achieve effective detection accuracy, accurate detection accuracy and, Method Accurate Effect

Active Publication Date: 2020-05-29
北京道贞健康科技发展有限责任公司
View PDF12 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention aims at the technical problems in the prior art that the sleep depth judgment data is inaccurate and cannot accurately push rest suggestions, and further provides a method and system for judging sleep depth based on brain waves of the manubrium sternum region

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for judging sleep depth based on sternal manubrium anterior area brain waves
  • Method and system for judging sleep depth based on sternal manubrium anterior area brain waves
  • Method and system for judging sleep depth based on sternal manubrium anterior area brain waves

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] see figure 1 , the method for judging the depth of sleep based on the brain waves of the manubrium sternum region of the present embodiment comprises the following steps:

[0039] Step 1. Collect brain wave information at the presternal manubrium of the subject through the physiological information pickup transmitter;

[0040] Step two, such as figure 2 As shown, the brain wave information collected is continuously interpreted during the collection period, and the brain wave information includes: at least one of α brain waves, β brain waves, and θ brain waves; when the brain wave information is only When the α brain wave is included, it is judged that the tester's sleep depth is a closed-eye state; when the brain wave information only includes α brain waves and β brain waves, it is judged that the tester's sleep depth is a light sleep state; when the brain wave information When only θ brain waves are included in , it is judged that the sleep depth of the tester is a de...

Embodiment 2

[0049] On the basis of Embodiment 1, this embodiment further provides a system for judging sleep depth based on brain waves in the manubrium sternum area, which is suitable for the aforementioned method. Such as Figure 5 As shown, in one of the preferred technical solutions, the system includes:

[0050] Physiological information pickup transmitter 100, used to collect and send the tester's ECG information, respiratory waveform information and body position information;

[0051] The mobile terminal 200 is provided with a receiving module 210 and a data processing module 220 in the mobile terminal 200; the receiving module 210 is wirelessly connected to the physiological information pickup transmitter 100 for receiving the physiological information pickup transmitter 100 The sent tester's ECG information, brain wave information, respiratory waveform information, body position and body movement information; the data processing module 220 is connected with the receiving module ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method and system for judging sleep depth based on sternal manubrium anterior area brain waves. The method comprises the following steps of: collecting brain wave informationat the sternal manubrium anterior area of a testee by a physiological information picking-up transmitter; continuously reading the collected brain wave information within the collection period, wherein the brain wave information comprises at least one of alpha brain waves, beta brain waves and theta brain waves; judging whether the sleep depth of the testee by the brain wave information is in thestate of eye closing, or the somnolence state or the deep sleeping state; and separately counting the accumulative duration of the state of eye closing, the somnolence state and the deep sleeping state, using the accumulative duration as sleep parameter data, and outputting the accumulative duration, wherein the brain wave signals comprise the alpha brain waves, the beta brain waves and the thetabrain waves. The system adopts the method. The method for judging the sleep depth based on the brain waves is accurate for sleep depth judgment, the testee only needs to wear the physiological information picking-up transmitter, and the sleep state of the testee cannot be influenced.

Description

technical field [0001] The invention belongs to the technical field of physiological detection devices. Specifically, the invention relates to a method and system for judging sleep depth based on brain waves of the manubrium sternum region. Background technique [0002] According to rough statistics from the scientific community: Babies under the age of 1 need a cumulative sleep of 18 hours a day; children aged 1 to 3 need a cumulative sleep of 14 to 15 hours a day; children aged 4 to 12 need a cumulative sleep of 10 to 12 hours a day; A 29-year-old youth needs a cumulative sleep of 8 hours a day, an adult aged 30 to 60 needs a cumulative sleep of 7 hours a day, and an elderly person over the age of 60 needs a cumulative sleep of 5.5 to 7 hours a day; during sleep, the body's metabolism will be slowed down, The damaged functions in the waking state are gradually restored, and the physical strength and energy are regained and full. Although the above data has certain guiding...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476A61B5/0402A61M21/00
CPCA61B5/4809A61M21/00A61B5/7235A61M2021/0083A61B5/318A61B5/369Y02D30/70
Inventor 肖钢
Owner 北京道贞健康科技发展有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap