Deep learning for scoring sleep based on cardiorespiratory signals as compared to auto and multiple manual sleep scorings based on neurological signals

被引：0
|
作者：
Anderer, Peter [1 ]
Fonseca, Pedro [2 ,3 ]
Ross, Marco [1 ]
Moreau, Arnaud [1 ]
Cerny, Andreas [1 ]
Aubert, Xavier [4 ]
Klee, Mareike [4 ]
机构：
[1] Philips Austria GmbH, Home Healthcare Solut, Sleep & Resp Care, Vienna, Austria
[2] Eindhoven Univ Technol, Philips Res, Eindhoven, Netherlands
[3] Eindhoven Univ Technol, Dept Elect Engn, Eindhoven, Netherlands
[4] Philips Res, Eindhoven, Netherlands
来源：
EUROPEAN RESPIRATORY JOURNAL | 2018年 / 52卷
关键词：
D O I：
10.1183/13993003.congress-2018.PA2248
中图分类号：
R56 [呼吸系及胸部疾病];
学科分类号：
摘要：
PA2248
引用
收藏
页数：2
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