USING NOVEL EEG PHENOTYPES AND ARTIFICIAL INTELLIGENCE TO ESTIMATE OSA SEVERITY

被引：0
|
作者：
Fernandez, Chris [1 ,2 ]
Rusk, Sam [1 ,2 ]
Glattard, Nick [1 ,2 ]
Piper, David [1 ]
Solis, Jonathan [1 ]
Hensen, Brock [1 ]
Orr, Nick [1 ]
Tekchandani, Jatin [3 ,4 ]
Shokoueinejad, Mehdi [5 ]
Hungerford, James [6 ]
机构：
[1] EnsoData, EnsoData Res Labs, Madison, WI USA
[2] Univ Wisconsin, Sch Med & Publ Hlth, Dept Populat Hlth Sci, Madison, WI USA
[3] Univ Houston, Dept Biomed Engn, Houston, TX USA
[4] Kingwood Diagnost & Rehabil Ctr, Houston, TX USA
[5] Univ Wisconsin, Dept Biomed Engn, Madison, WI USA
[6] Univ Arkansas Med Sci, Dept Pediat Sleep Med, Little Rock, AR 72205 USA
来源：
SLEEP | 2019年 / 42卷
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
0932
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收藏
页数：1
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