Abstract
This paper presents an OSA patient interactive monitoring system based on the Beidou system. This system allows OSA patients to get timely rescue when they become sleepy outside. Because the Beidou position marker has an interactive function, it can reduce the anxiety of the patient while waiting for the rescue. At the same time, if a friend helps the OSA patients to call the doctor, the friend can also report the patient's condition in time. This system uses the popular IoT framework. At the bottom is the data acquisition layer, which uses wearable sensors to collect vital signs from patients, with a focus on ECG and SpO2 signals. The middle layer is the network layer that transmits the collected physiological signals to the Beidou indicator using the Bluetooth Low Energy (BLE) protocol. The top layer is the application layer, and the application layer uses the mature rescue interactive platform of Beidou. The Beidou system was developed by China itself, the main coverage of the satellite is in Asia, and is equipped with a high-density ground-based augmentation system. Therefore, the Beidou model improves the positioning accuracy and is equipped with a special communication satellite, which increases the short message interaction function. Therefore, patients can report disease progression in time while waiting for a rescue. After our simulation test, the effectiveness of the OSA patient rescue monitoring system based on the Beidou system and the positioning accuracy of OSA patients have been greatly improved. Especially when OSA patients work outdoors, the cell phone base station signal coverage is relatively weak. The satellite signal is well-covered, plus the SMS function of the Beidou indicator. Therefore, the system can be used to provide timely patient progress and provide data support for the medical rescue team to provide a more accurate rescue plan. After a comparative trial, the rescue rate of OSA patients using the detection device of this system was increased by 15 percentage points compared with the rescue rate using only GPS satellite phones.
Highlights
Sleep respiratory diseases include obstructive sleep apnea (OSA) and central nervous system sleep apnea (CSA), etc., the research shows that 80% of the patients with sleep apnea syndrome have snoring phenomena [1]
The OSA sleep disorder patient monitoring system is based on the Internet of Things (IoT) framework structure
The special operation of shielding the Beidou indicator is made to make this OSA patient monitoring and rescue system easier to integrate into the existing hospital emergency system
Summary
Sleep respiratory diseases include obstructive sleep apnea (OSA) and central nervous system sleep apnea (CSA), etc., the research shows that 80% of the patients with sleep apnea syndrome have snoring phenomena [1]. PSG can only be used in specialized clinics or hospitals under constant medical supervision to collect physiological signals from patients with sleep disorders, and use professional sleep experts to diagnose patients who have sleep disorders based on physiological signals detected by PSG [7]. It can make people sleepy and lack attention during the day, which increases the possibility of accidents such as traffic accidents or the operation of other dangerous equipment Due to problems such as OSA not being effectively solved by surgery, and sleep correction using CPAP causing discomfort to patients with sleep disorders, the data suggests that 80% of the patients with sleep disorders have not been effectively diagnosed or treated in time. The effectiveness of the OSA patient rescue monitoring system based on the Internet of Things framework and the positioning accuracy of OSA patients have been greatly improved. Section Experimental study summarizes and suggests the direction for future improvements
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