Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification

doi:10.1145/3625238

	Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification
	Ma, Shuo 1; Zhang, Yingwei 2; Chen, Yiqiang 2; Xie, Tao 3; Song, Shuchao 1; Jia, Ziyu 4
	2024
发表期刊	ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
ISSN	2157-6904
卷号	15 期号:1 页码:30
摘要	Sleep stage classification is crucial for sleep state monitoring and health interventions. In accordance with the standards prescribed by the American Academy of Sleep Medicine, a sleep episode follows a specific structure comprising five distinctive sleep stages that collectively form a sleep cycle. Typically, this cycle repeats about five times, providing an insightful portrayal of the subject's physiological attributes. The progress of deep learning and advanced domain generalization methods allows automatic and even adaptive sleep stage classification. However, applying models trained with visible subject data to invisible subject data remains challenging due to significant individual differences among subjects. Motivated by the periodic categorycomplete structure of sleep stage classification, we propose a Structure Incentive Domain Adversarial learning (SIDA) method that combines the sleep stage classification method with domain generalization to enable cross-subject sleep stage classification. SIDA includes individual domain discriminators for each sleep stage category to decouple subject dependence differences among different categories and fine-grained learning of domain-invariant features. Furthermore, SIDA directly connects the label classifier and domain discriminators to promote the training process. Experiments on three benchmark sleep stage classification datasets demonstrate that the proposed SIDA method outperforms other state-of-the-art sleep stage classification and domain generalization methods and achieves the best cross-subject sleep stage classification results.
关键词	physiological signal time-series signal sleep stage classification domain generalization subject independent
DOI	10.1145/3625238
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Plan of China[2021YFC2501202] ; National Natural Science Foundation of China[61972383] ; National Natural Science Foundation of China[62302487] ; Beijing Municipal Science & Technology Commission[Z221100002722009] ; Innovative Research Program of Shandong Academy of Intelligent Computing Technology[SDAICT2191010] ; National Heart, Lung, and Blood Institute[R24 HL114473] ; National Heart, Lung, and Blood Institute[75N92019R002] ; National Heart, Lung, and Blood Institute[U01HL53916] ; National Heart, Lung, and Blood Institute[U01HL53931] ; National Heart, Lung, and Blood Institute[U01HL53934] ; National Heart, Lung, and Blood Institute[U01HL53937] ; National Heart, Lung, and Blood Institute[U01HL64360] ; National Heart, Lung, and Blood Institute[U01HL53938] ; National Heart, Lung, and Blood Institute[U01HL53940] ; National Heart, Lung, and Blood Institute[U01HL53941] ; National Heart, Lung, and Blood Institute[U01HL63463]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号	WOS:001170039400014
出版者	ASSOC COMPUTING MACHINERY
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38975
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Chen, Yiqiang
作者单位	1.Chinese Acad Sci, Univ Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Devices, Beijing, Peoples R China 2.Chinese Acad Sci, Univ Chinese Acad Sci,Inst Comp Technol, Shangdong Acad Intelligent Comp Technol, Beijing Key Lab Mobile Comp & Pervas Devices, Beijing, Peoples R China 3.NIO, Beijing, Peoples R China 4.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ma, Shuo,Zhang, Yingwei,Chen, Yiqiang,et al. Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification[J]. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,2024,15(1):30.
APA	Ma, Shuo,Zhang, Yingwei,Chen, Yiqiang,Xie, Tao,Song, Shuchao,&Jia, Ziyu.(2024).Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification.ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY,15(1),30.
MLA	Ma, Shuo,et al."Exploring Structure Incentive Domain Adversarial Learning for Generalizable Sleep Stage Classification".ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY 15.1(2024):30.