Intelligent wearable monitoring equipment for sleep apnea based on electroencephalogram and breathing

Abstract

The invention discloses intelligent wearable monitoring equipment for sleep apnea based on electroencephalogram and breathing. The equipment comprises a wearable equipment monitoring body, the wearable 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 is used 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 usedfor supplying power, the warning module is used for receiving warning signals sent by the central processing unit and warning a user and an attendant, the human body health monitoring module transmitsthe 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 breathing has the advantages that the defect that the detection means of electroencephalogram and breathing medical monitoring equipment are insufficient is made up.

Description

technical field [0001] The invention relates to medical monitoring equipment, in particular to an intelligent medical monitoring equipment used for monitoring and analyzing brain electricity and respiration. 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. Clinically, the cessation of airflow through the mouth and nose for more than 10 seconds is called apnea, and apnea hypopnea is defined as a decrease in respiratory airflow intensity of more than 50% compared with the baseline level during sleep accompanied by a decrease in blood oxygen saturation of at least 4% compared with the baseline level; Sleep apnea syndrome is a clinical syndrome of chronic hypoxemia and hypercapnia caused by more than 30...

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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