Abstract
With the acceleration of people's life rhythm, obstructive sleep apnea syndrome appears more and more frequently. This research mainly discusses the treatment of obstructive sleep apnea syndrome with a positive pressure ventilator based on artificial intelligence processor. The information storage function of the smart positive pressure ventilator is included in the local medical terminal, presented after logging in with the user authority. It is mainly composed of data collection, data processing, and medical interface design, which embeds data request, data transmission, data analysis, and detailed tasks such as data compression and storage, and functions such as data display, image drawing, and alarm notification are realized by the medical interface. When the CPAP ventilator transmits respiratory data to the local medical terminal, it sends real-time respiratory information data packets. The data packet is collected and sent in real time in a fixed period and then received and analyzed by the local medical terminal. In the CPAP ventilator telemedicine system, the function of alarm message processing is mainly used to detect the patient's breathing status in real time, extract the alarm-related information, and generate an alarm. This function specifically includes several tasks such as alarm detection, alarm prompt, alarm storage, and remote transmission of alarm messages. The confirmed OSAS patients were pressure-titrated with a smart CPAP ventilator and then treated for 5 hours a day, followed by echocardiography after 5 months of continuous treatment. During the study, the average BMI was (28.9 ± 7.2) kg/m2 and the average AHI index was (53.1 ± 37.8) times/h. This study may help improve the quality of life of patients with obstructive sleep apnea syndrome.
Highlights
Many studies have shown that OSA is a heterogeneous disease, and its clinical characteristics, pathophysiological characteristics, and polysomnography all have different phenotypes. e current clinical guidelines for assessing the severity of OSA and the main indicators of treatment effects are still based on the assessment of AHI and blood oxygen saturation in polysomnography, there are a large number of studies on OSA-related biomarkers, endothelial function, and arterial stiffness in the literature; there are a large number of research evaluations on OSArelated biomarkers, endothelial function, and arterial stiffness in the literature, there is no clinical practice guidance
E information storage function of the smart positive pressure ventilator is included in the local medical terminal, presented after logging in with the user authority. It is mainly composed of data collection, data processing, and medical interface design, which embeds data request, data transmission, data analysis, and detailed tasks such as data compression and storage, and functions such as data display, image drawing, and alarm notification are realized by the medical interface [6]. e data packet from the CPAP ventilator is collected and sent in real time in a fixed period and received and analyzed by the local medical terminal
In the CPAP ventilator telemedicine system, the function of alarm message processing is mainly to detect the patient’s breathing status in real time, extract the alarmrelated information, and generate an alarm. is function includes several tasks such as alarm detection, alarm prompt, alarm storage, and remote transmission of alarm messages. e confirmed OSAS patients were pressure-titrated with a smart CPAP ventilator and treated for 5 hours a day, followed by echocardiography after 5 months of continuous treatment
Summary
Many studies have shown that OSA is a heterogeneous disease, and its clinical characteristics, pathophysiological characteristics, and polysomnography all have different phenotypes. e current clinical guidelines for assessing the severity of OSA and the main indicators of treatment effects are still based on the assessment of AHI and blood oxygen saturation in polysomnography, there are a large number of studies on OSA-related biomarkers, endothelial function, and arterial stiffness in the literature; there are a large number of research evaluations on OSArelated biomarkers, endothelial function, and arterial stiffness in the literature, there is no clinical practice guidance. Their research can be used to train artificial intelligence models for surge prediction in those areas, the accuracy is not high [3] Bose believes that these technologies provide powerful tools for modern smart grid (SG) control. E information storage function of the smart positive pressure ventilator is included in the local medical terminal, presented after logging in with the user authority. It is mainly composed of data collection, data processing, and medical interface design, which embeds data request, data transmission, data analysis, and detailed tasks such as data compression and storage, and functions such as data display, image drawing, and alarm notification are realized by the medical interface [6]. In the CPAP ventilator telemedicine system, the function of alarm message processing is mainly to detect the patient’s breathing status in real time, extract the alarmrelated information, and generate an alarm. is function includes several tasks such as alarm detection, alarm prompt, alarm storage, and remote transmission of alarm messages. e confirmed OSAS patients were pressure-titrated with a smart CPAP ventilator and treated for 5 hours a day, followed by echocardiography after 5 months of continuous treatment
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