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 envi

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  • Method for monitoring sleep respiration based on snore signals

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

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

[0029] Step 001. Since the human voice frequency is 300~3400Hz, the client (smartphone) is used to continuously record in real time according to the preset sampling frequency of 8000Hz to obtain the continuous breathing signal of a single sleeper to be tested. At the same time, in order to save data storage space, Also in order to save the data traffic of the user uploading to the server, the data is quantified as 8bit, and step 002 is entered.

[0030] Regarding the operation in step 001 above, there are two situations in practical applications. One is to simultaneously process multiple sleepers to be tested ...

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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 ...

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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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