Snore stopping system based on snore recognition and classification

Abstract

The present invention relates to an anti-snoring system based on snore recognition and classification, comprising a central control device and a ring-type anti-snore device; the central control device is used to identify and classify user snoring, and send control signals to The ring-type anti-snoring device; the ring-type anti-snoring device includes a vibration module, a wireless interface and a battery; the wireless interface receives the control signal from the central control device to control the operation of the vibration module; the battery is a vibration module and a wireless Interface power supply. Compared with the prior art, the present invention drives the ring-type anti-snoring device to vibrate according to different types of snoring sounds, which can adjust the user's sleeping position and relieve snoring.

Description

technical field [0001] The invention relates to an anti-snoring system, in particular to an anti-snoring system based on the recognition and classification of snoring sounds. Background technique [0002] According to the latest statistics in my country in 2015, 38.2% of people suffer from various sleep disorders, exceeding the international average of 27%. Among them, sleep snoring is an important cause of sleep disorders. Snoring can cause repeated pauses in breathing during sleep, causing severe hypoxia in the brain and blood, and inducing serious diseases such as high blood pressure, myocardial infarction, angina pectoris, and cerebrovascular accidents. The diagnostic pre-screening for sleep disorders is based on long-term nocturnal signs (respiratory status) monitoring. At present, for the monitoring of sleep breathing status, such as the monitoring based on polysomnography (PSG), it is required to be operated by professionals in professional places. Large, low user e...

AI Technical Summary

Problems solved by technology

However, the above solution is only suitable for a quiet and undisturbed environment. When there is sudden interference such as turning over at night and dream talking, the detection effect on the snoring signal is not good.

Also, lack of detection of apnea, especially obstructive snoring leading to apnea or hypopnea

[0011] 2: Anti-snoring intervention plan: (1) The intervention mode is single, and there is no interactive adaptive intervention mode based on snoring classification. The real-time intervention effect is analyzed during the intervention process. Take an upgraded intervention; (2) The intervention method has low experience and large limitations: if the pillow or air cushion is inflated and deflated to change the sleeping position to relieve snoring, when the user's sleeping position deviates from the pillow or air cushion, it will not be able to stop snoring. ; The hand-bowl wearable anti-snoring device has a large contact range with the body surface and needs to be in close contact with the body surface, resulting in low user experience

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