首页> 外文期刊>Journal of clinical sleep medicine: JCSM : official publication of the American Academy of Sleep Medicine >A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool
【24h】

A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool

机译:一种新型人工神经网络的睡眠无序呼吸筛床工具

获取原文
获取原文并翻译 | 示例
       

摘要

Study Objectives: This study evaluated a novel artificial neural network (ANN) based sleep-disordered breathing (SDB) screening tool incorporating nocturnal pulse oximetry with demographic, anatomic, and clinical data. The tool was compatible with 6 categories of apnea-hypopnea index (AHI) with 4% oxyhemoglobin desaturation threshold, = 5, 10, 15, 20, 25, and 30 events/h.
机译:研究目标:本研究评估了一种基于人工神经网络(ANN)的睡眠无序呼吸(SDB)筛选工具,其包含具有人口统计学,解剖学和临床数据的夜间脉搏血管血管。 该工具与6个类别的呼吸暂停症索引(AHI)兼容,具有4%的氧杂环蛋白去饱和阈值,= 5,10,15,20,25和30个事件/ h。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号