Non-invasive sensing sleep quality analysis system and method based on fuzzy inference system

An inference system and sleep quality technology, which is applied in the field of non-invasive sensing sleep quality analysis system, can solve problems such as deviations, and achieve the effect of reducing complexity and computing load

Active Publication Date: 2021-12-14
HUAQIAO UNIVERSITY
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  • Claims
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AI Technical Summary

Problems solved by technology

Most of the above systems use the threshold value to judge the transition of sleep stages. Since different people have different sleep characteristics, the fixed threshold value will produce deviation when it is applied to different groups of people.

Method used

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  • Non-invasive sensing sleep quality analysis system and method based on fuzzy inference system
  • Non-invasive sensing sleep quality analysis system and method based on fuzzy inference system
  • Non-invasive sensing sleep quality analysis system and method based on fuzzy inference system

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Embodiment 1

[0139] 1. Input volume: heart rate: hrmiddle+4, heart rate variation: 33, turning times: 3;

[0140] 2. According to the input belonging function formulas (3.4), (3.5) and (3.6), the fuzzy belonging set corresponding to each input quantity and the corresponding degree of belonging can be determined:

[0141] Heart rate: M(0.6), H(0.4)

[0142] Heart rate variation: MH(0.7), H(0.3)

[0143] Number of turns: M(0.5), H(0.5)

[0144] It can be found that according to the input belonging function, corresponding to the current input belonging function value, there are Figure 9 The rules 2, 4, 5, 8, 11, and 14 in can be satisfied, and the selected ones that meet the rules Figure 12 (At this time, the two columns of rule weight and output weight can be ignored);

[0145] 3. Calculate the output membership function according to formula (3.4) Figure 10 Each sleep stage center-of-gravity value g(k) of each sleep stage obtains g(REM)=15.6, g(NREM 1)=40, g(NREM 2)=60, g(NREM 3)=84....

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Abstract

The non-invasive sensing sleep quality analysis system and method based on the fuzzy inference system of the present invention uses the pressure sensor on the pillow and the heart rate sensing wristband worn by the subject to non-invasively sense the number of turning over and the heart rate value, and measure The value is uploaded to the sleep monitoring device by wireless transmission, and the subject does not need to stick electrodes to cause uncomfortable sleep, and also avoids the manpower problem of PSG requiring professional nursing staff. The present invention uses simplified physiological signals to reduce the number of system The amount of calculation, and the present invention utilizes the characteristics of REM and NREM in heart rate changes and the number of times of turning over, automatically analyzes the sleep stage through the fuzzy inference system, does not need an accurate mathematical model, and only needs to use the characteristics of the sleep stage to design a rule base. Reduce design-time complexity.

Description

technical field [0001] The invention relates to a non-invasive sensing sleep quality analysis system and method based on a fuzzy inference system. Background technique [0002] Sleep takes up about one-third of a person's day, and good sleep quality can make people feel refreshed all day. However, the pressure of modern people's studies, work or family is increasing, and the quality of sleep is disturbed, resulting in insomnia. [0003] The early sleep classification was mainly based on the R-K method proposed by Rechtschaffen and Kales in 1968. The standard divides sleep into rapid eye movement (REM) and non-rapid eye movement (Non-Rapid) based on the waveforms measured by EEG, EOG and EMG. Eye Movement, NREM), can be further subdivided into six stages, namely Awake, REM, NREM 1, NREM 2, NREM 3 and NREM 4. Because there is little difference between NREM 3 and 4, since 2007, the American Association of Sleep Medicine has redefined sleep stages into five stages, namely Awa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/0205A61B5/11
CPCA61B5/0205A61B5/024A61B5/11A61B5/4812A61B5/4815A61B5/681A61B5/72
Inventor 叶剑虹李俊贤董名峰罗继亮
Owner HUAQIAO UNIVERSITY
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