采用变压器神经网络来提高阻断性睡眠呼吸暂停氧度的诊断性能

Malak Abdullah Almarshad1,2, Saad Al-Ahmadi1, Md Saiful Islam1

  • 1Computer Science Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.

Sensors (Basel, Switzerland)
|September 28, 2023
PubMed
概括

一种新的变压器神经网络方法使用氧计数据准确诊断阻塞性睡眠呼吸暂停 (OSA). 这种方法可以减少诊断时间和成本,而不是传统的多睡眠学.

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