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Sleeping stage determination method and system

A sleep stage and stage technology, applied in the field of communication, can solve problems such as heavy manual labeling workload, difficulty in obtaining training samples, and difficult universality of sleep stage classifiers

Active Publication Date: 2015-06-24
CHINA MOBILE COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is not easy to obtain sleep data, and the workload of manual labeling is also very large.
Therefore, it is difficult to obtain enough training samples
In the case of limited training samples, it is difficult for the sleep stage classifier to have good universality, and the accuracy of sleep stage determination is difficult to be guaranteed.

Method used

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  • Sleeping stage determination method and system
  • Sleeping stage determination method and system
  • Sleeping stage determination method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0042] Embodiment 1 of the present invention provides a method for determining a sleep stage, and the steps of the method can be as follows figure 2 shown, including:

[0043] Step 101. Determine heart rate variability data within a specified time period.

[0044]In this step, the heart rate variability data of the sleeper within a specified time period may be determined for subsequent determination of a description of the sleep condition corresponding to the sleeper within the specified time period.

[0045] The heart rate variability data may be determined through the collected sign signals. Of course, this step can also be understood as receiving the heart rate variability data within a specified time period that has been obtained in advance. The sign signal may be, but not limited to, an electrocardiogram signal or a pulse wave signal. Any sign signal that can be used to determine heart rate variability data can be understood as applicable to this embodiment. For exampl...

Embodiment 2

[0091] Embodiment 2 of the present invention provides a method for determining a sleep stage, and the schematic diagram of the steps of the method can be as follows Figure 5 shown, including:

[0092] Step 201, collect the sign signal within a specified time period.

[0093] In this embodiment, the sign signal may be an electrocardiographic signal or a pulse wave signal. And set the length of each time segment of the specified period to be 30 seconds.

[0094] Step 202. Determine the heart rate variability within a specified time period.

[0095] If the collected sign signal is an ECG signal, in this step, the R wave position of the collected ECG signal during the specified time period can be extracted, and the heart rate variability data within the specified time period can be determined according to the R wave position.

[0096] If the collected sign signal is a pulse wave signal, in this step, the pulse wave key points of the collected pulse wave signal within the speci...

Embodiment 3

[0148] Embodiment 3 of the present invention provides a sleep stage determination system, the structural diagram of the system can be as follows Figure 8 As shown, it includes a determination module 11 and a judgment module 12, wherein:

[0149] The determining module 11 is used to determine heart rate variability data within a specified period of time;

[0150] The judging module 12 is used to determine at least one characteristic parameter according to the heart rate variability data determined by the determining module for a time segment of the specified time period, and determine the time according to the corresponding relationship between the characteristic parameter and preset rules. The sleep stage corresponding to the segment; wherein, the time segment is obtained by sequentially dividing the specified period of time according to not more than the set duration; the sleep stage is waking or rapid eye movement sleep REM, deep sleep stage and light sleep one of the stag...

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Abstract

An embodiment of the invention provides a sleeping stage determination method and system. The sleeping stages can be recognized by means of characteristic parameters of heart rate variability data. Accordingly, after heart rate variability data is obtained, the corresponding sleeping stages within the time section can be determined according to the correspondence of the characteristic parameters of the heart rate variability data corresponding to a time section and the preset rule, so that a sleeping stage classifier is not needed to be trained by acquiring and marking samples, and the problem that sleeping stage determination accuracy is low and the sleeping stage classifier is poor in applicability due to deficiency of training samples is solved.

Description

technical field [0001] The present invention relates to the communication field, in particular to a sleep stage determination method and system. Background technique [0002] People spend nearly 1 / 3 of their life in sleep, and the quality of sleep is directly related to the memory, study, work, immunity and other aspects of the human body. With the development of the times, people's life rhythm is getting faster and faster, and the pressure is getting bigger and bigger. Many people have sleep problems, and sleep monitoring has emerged as the times require. [0003] In sleep monitoring, human sleep is usually described by a sequence of 6 stages, which usually include: [0004] 1. The waking stage can be recorded as waking. During this stage, the consciousness of the sleeper is awake. [0005] 2. The stage of falling asleep can be recorded as non-rapid eye movements (NREM)1. In NREM1, the sleeper's eyes are closed, but if awakened during this stage, the sleeper may feel th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00
CPCA61B5/02405A61B5/4812
Inventor 王俊艳张志鹏徐青青许利群
Owner CHINA MOBILE COMM GRP CO LTD
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