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AI applied to body type classification and treatment of sleep apnea

Video

In this video, Dr. Liu explains how to assess the severity of sleep apnea and classify the disease.

He will first show sleep apnea is diagnosed and the process of diagnosis. The diagnosis of sleep apnea is used to analyze the severity of the disease and the different types of illness, and to provide the patient with strategies for improvement such as lifestyle modification, exercise, sleep avoidance, etc. For patients with unstable breathing patterns and hypoxia, further monitoring is required for heart failure due to the possibility of serious cardiovascular complications. Therefore, it is important to identify the type of sleep apnoea and to arrange the appropriate treatment.

Regarding the use of artificial intelligence and the Internet of Things in sleep apnea, we can divide it into three parts. The first part is to analyze the severity of sleep apnea patients through the technology of wearable devices and home Internet of Things technology. degree and different disease types. In this video, Dr. Liu explains the diagnosis method and diagnosis process of sleep apnea.

The diagnosis of sleep apnea is used to analyze the severity of the disease and different types of diseases. It is mainly divided into NREM OSA, overnight rostral fluid shift, and positional OSA, and provides patients with improvement strategies such as lifestyle changes, exercise, and sleep avoidance. In patients with unstable breathing patterns and hypoxia, further monitoring for heart failure is required due to the potential for serious cardiovascular complications. Therefore, it is important to identify the type of sleep apnea and arrange appropriate treatment.

The establishment of the system is to develop an innovative way beyond the traditional mode of medical treatment, in addition to the subjective recording of symptoms, data analysis from wearable devices and home Internet devices can be used to more accurately determine the patient’s condition. Different parameter types, such as height, age, gender, BMI, etc., coupled with physiological signals and environmental data detected by wearable devices and home IoT devices, can provide doctors with more complete information and provide patients with comprehensive information. Improvement plan.

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  • What parameters can help doctors determine the severity of symptoms in patients with sleep apnoea?
  • What behaviors can help to improve sleep apnoea?
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Introduction to AI Applications in Pulmonary Medicine

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