ENHANCING BOTH SLEEP STAGE CLASSIFICATION AND OBSTRUCTIVE SLEEP APNEA EVENT DETECTION TASKS WITH A UNIFIED SOUND-BASED MULTI-TASK MODEL

被引：0
|
作者：
Le, V. L. [1 ]
Kim, J. [1 ]
Cho, E. [1 ]
Lee, D. [1 ]
Hong, J. [1 ]
Kim, D. [1 ]
Lee, M. [2 ]
Moon, S. H. [2 ]
Kushida, C. [3 ]
Kim, J. -W. [4 ]
Yoon, I. -Y. [2 ]
机构：
[1] ASLEEP CO LTD, AI Core Unit, Seoul, South Korea
[2] Seoul Natl Univ Bundang Hosp, Psychiat, Seongnam Si, South Korea
[3] Stanford Univ, Div Sleep Med, Dept Psychiat & Behav Sci, Redwood City, CA USA
[4] Seoul Natl Univ Bundang Hosp, Dept Otorhinolaryngol, Seongnam Si, South Korea
来源：
SLEEP MEDICINE | 2024年 / 115卷
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暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
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页码：102 / 103
页数：2
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