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Method for monitoring sleep respiration based on snore signals

A sleep breathing and signal technology, applied in the evaluation of respiratory organs, diagnostic recording/measurement, medical science, etc., can solve the problems of affecting patients' sleep quality and high cost, and achieve the effect of easy promotion, cost control, and quality assurance

Inactive Publication Date: 2015-06-10
PLA UNIV OF SCI & TECH +2
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Problems solved by technology

However, this method is costly, and the collection of strange sleep environment and contact information will affect the sleep quality of patients

Method used

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  • Method for monitoring sleep respiration based on snore signals

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Embodiment Construction

[0027] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0028] Such as figure 1 As shown, a sleep breathing monitoring method based on a snoring signal designed by the present invention is implemented in practical applications, specifically referring to the following steps:

[0029] Step 001. Since the vocal frequency of a person is 300-3400Hz, the client (smartphone) is used to continuously record and obtain the continuous breathing signal of a single sleeping person to be tested in real time according to the preset sampling frequency of 8000Hz. At the same time, in order to save data storage space, Also in order to save the data traffic uploaded by the user to the server, quantify the data to 8bit, and enter step 002.

[0030] For the operation in the above step 001, there are two situations in practical application, one is to process multiple sleepers to be tested at the ...

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Abstract

The invention relates to a method for monitoring sleep respiration based on snore signals. The method is clear in logic and used for judging whether a sleeper has obstructive respiration or not based on the snore signals. The method comprises the following steps: firstly, acquiring continuous respiration signals of a to-be-tested sleeper; secondly, dividing the continuous respiration signals to obtain respiration signal segments, and judging whether each respiration signal segment comprises the snore signal or not respectively; thirdly, judging whether primary obstructive respiration exists or not for all the snore signals respectively; finally, judging whether obstructive respiration exists or not according to an obstructive respiration model for the snore signals with the primary obstructive respiration, and obtaining a sleep respiration situation of the to-be-tested sleeper through judgment. Therefore, the method realizes real-time monitoring for the sleeper, provides scientific and accurate sleep respiration monitoring for the sleeper, thereby paying close attention to sleep health of the sleeper in real time.

Description

technical field [0001] The invention relates to a sleep respiration monitoring method based on snoring sound signals. Background technique [0002] The state of breathing is the most important vital feature of the human body. Real-time monitoring of human sleep breathing status is extremely important for certain groups of people, such as patients with sleep apnea, or newborn babies, as well as some patients with respiratory diseases and heart diseases. [0003] Existing methods for monitoring human sleep breathing status mainly use polysomnography to collect information such as EEG signals, electrocardiograms, blood oxygen saturation, mouth and nose airflow, leg movement and body position changes during sleep, and comprehensively judge the patient's sleep status. sleep breathing state. However, this method is costly, and the strange sleep environment and contact information collection will affect the sleep quality of patients. Contents of the invention [0004] In view ...

Claims

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Application Information

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IPC IPC(8): A61B5/08
CPCA61B5/0826
Inventor 胡谷雨陈向东王修来潘志松周宇欢芮海军董志韧庞永辉
Owner PLA UNIV OF SCI & TECH
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