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Sleep quality monitoring method based on smartphone

A sleep quality, smartphone technology, used in diagnostic recording/measurement, medical science, sensors, etc.

Inactive Publication Date: 2018-09-14
BEIJING UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defects existing in the existing sleep monitoring method, the present invention proposes a smart phone-based sleep quality monitoring method

Method used

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  • Sleep quality monitoring method based on smartphone
  • Sleep quality monitoring method based on smartphone

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] In the present invention, in order to ensure the accuracy of the test results, a total of 60 days of sleep data were collected from 20 volunteers, and each volunteer collected sleep data for three days. To ensure the randomness of sampling, the age distribution of volunteers ranged from 20 to 60 years old, and they were divided into 10 males and 10 females. Each volunteer wears a Jawbone UP bracelet and a smartphone equipped with a sleep monitoring system at the same time when taking measurements. The volunteers turn on the sleep monitoring function on the wristband and the smartphone at the same time during sleep. The bracelet is worn on the wrist, and the smartphone Placed next to the pillow, the system automatically measures the sleep state, and compares the accuracy of the system's measurement by comparing the two.

[0065] The sleep state test is divided into two levels of comparison, the first is the time measurement comparison of different sleep stages, and the s...

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Abstract

The invention discloses a sleep quality monitoring method based on a smartphone and belongs to the technical field of mobile sensing of smart phones. Firstly, a sensor of the phone is utilized to acquire sleep-related physiological characteristic signals in the sleeping process, then characteristic extraction is conducted on the physiological characteristic signals, then a fuzzy logic theoreticalmethod is utilized to map corresponding characteristics into corresponding sleep states, and finally sleep quality score is given according to age and environment lighting information of sleepers. Bycomparing 20 groups of sleep data, the judgement accuracy of rapid-eye-movement sleep (REM) can be up to 75.3%, the judgement accuracy of a light sleep stage is up to 81.2%, and the judgement accuracyof a deep sleep state is up to 78.8%. It can be found that the judgement accuracy of light sleep is the highest and the judgement accuracy of REM is the lowest because that brain neuron activities atthe REM stage and a sober stage are similar, the two stages cannot be effectively distinguished according to limb movements and breathing frequency and accordingly erroneous judgement is likely caused.

Description

technical field [0001] The invention belongs to the technical field of smart phone mobile perception, and in particular relates to a method for measuring sleep quality of a user by using a smart phone in an indoor scene. Background technique [0002] With the development of science and technology, people's living standards have gradually improved, and health problems have gradually attracted people's attention. Sleep is a very important physiological activity. People spend about 1 / 3 of their life in sleep. The quality of sleep directly affects people's health. Insufficient sleep can lead to many adverse consequences, such as headaches, anxiety, decreased immunity and so on. Therefore, people are eager to have an intuitive understanding of their sleep quality. In medicine, polysomnography is used to collect physiological signals such as brain wave signals, ECG signals, and eye movement signals of sleepers to judge the sleep quality of sleepers. It is considered to be the mo...

Claims

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Application Information

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IPC IPC(8): A61B5/11A61B5/08A61B5/00
CPCA61B5/0826A61B5/1118A61B5/4809A61B5/4815A61B5/4818A61B5/681A61B5/6898
Inventor 杨胜齐包宇津李超军
Owner BEIJING UNIV OF TECH
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