Sleep apnea intelligent wearable device based on electroencephalogram and thoracoabdominal motion

Abstract

The invention discloses a sleep apnea intelligent wearable device based on electroencephalogram and thoracoabdominal motion, comprising: a wearable device monitoring body having an electroencephalogram monitoring module inside which is used for monitoring human electroencephalogram; a central processing unit for processing and analyzing the human electroencephalogram; a power module for providingpower; a warning module for receiving a warning signal from the central processing unit and sending a warning to a user and nursing personnel. A body health monitoring module transmits a monitored body biological signal to the central processing unit; the central processing unit analyzes and processes the body biological signal and sends the processed signal to the warning module. By using the sleep apnea intelligent wearable device based on electroencephalogram and thoracoabdominal motion, the defects of monitoring means of electroencephalogram and respiratory medical monitoring equipment canbe 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 chest and abdomen movement. 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 t...

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.

[0004] 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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