Intelligent wearable monitoring equipment for sleep apnea based on electroencephalogram and heart rate

Abstract

The invention discloses intelligent wearable monitoring equipment for sleep apnea based on electroencephalogram and heart rate. The equipment comprises an equipment monitoring body, the equipment monitoring body is internally provided with a human body health monitoring module, a central processing unit, a power supply module and a warning module, wherein the human body health monitoring module isused for monitoring human body biological signals, the central processing unit is used for processing and analyzing the human body biological signals, the power supply module is used for supplying power, the warning module is used for determining the sleep apnea is serious and triggering a warning when analyzing and evaluating that the human body is in a sleep apnea condition; the human body health monitoring module transmits the monitored human body biological signals to the central processing unit, the central processing unit analyzes and processes the human body biological signals and transmits the human body biological signals to the warning module. The intelligent wearable monitoring equipment for the sleep apnea based on the electroencephalogram and the heart rate has the advantagesthat the defects that the universality, caused by complex operation, poor portability, high cost and the like, of specialized medical health monitoring equipment is poor, and simple and efficient health detection means are insufficient are made up.

Description

technical field [0001] The invention relates to a medical monitoring device, in particular to an intelligent medical monitoring device for monitoring and analyzing brain electricity and heart rate. Background technique [0002] Sleep apnea syndrome is a common sleep disorder. It is a high-risk factor for major diseases such as hypertension and stroke. In severe cases, it will cause sudden death. Currently, about 10% of adults are affected by sleep apnea syndrome. Finding and treating sleep apnea is of great significance. Currently, there is no smart medical device on the market that monitors and treats sleep apnea syndrome by monitoring human EEG and heart rate signals. [0003] Sleep is divided into non-rapid eye movement sleep (NREM) and rapid eye movement sleep (REM) according to the international general sleep classification standard. Under normal circumstances, the θ wave is the main part of the NREM stage, which is called slow wave sleep; the REM stage is dominated by...

AI Technical Summary

Problems solved by technology

Sleep apnea can be accurately detected using polysomnography, which is the gold standard for clinical diagnosis, but the equipment is complex and expensive, requiring patients to stay in the hospital for observation, and the monitoring data needs to be read by professionals, and many electrodes and sensors need to be placed around the patient , will seriously affect the patient's sleep at night, and the sensor is easy to fall off during sleep, which will easily lead to inaccurate measurement

Therefore, this method is suitable for the diagnosis of suspected patients, but not for ordinary users.

[0008] In addition, there are many studies that try to replace complex and expensive polysomnography with simple monitoring methods, but all of them monitor a certain physiological signal. Due to certain interference factors in practical applications, a single criterion will affect the quality of life. its accuracy, leading to its limited application

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