[OSA]

C Peng1, S R Xu1, Y Wang1

  • 1Department of Respiratory and Critical Care Medicine, Tianjin Medical University Gene Hospital, Tianjin 300052, China.

概括

这项研究开发了四种使用低氧参数的预测模型,以自动识别阻塞性睡眠呼吸暂停 (OSA) 中的呼吸事件类型. 这些模型为分析夜间SPO2数据提供了一个新的工具,以区分低呼吸,阻塞性呼吸暂停,中央呼吸暂停和混合呼吸暂停.

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