A Feature Fusion Model Based on Temporal Convolutional Network for Automatic Sleep Staging Using Single-channel EEG

IF 6.7 2区医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Journal of Biomedical and Health Informatics Pub Date : 2024-09-10 DOI:10.1109/jbhi.2024.3457969

Jiameng Bao, Guangming Wang, Tianyu Wang, Ning Wu, Shimin Hu, Won Hee Lee, Sio-Long Lo, Xiangguo Yan, Yang Zheng, Gang Wang

引用次数: 0

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基于时态卷积网络的特征融合模型，用于利用单通道脑电图进行自动睡眠分期

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Journal of Biomedical and Health Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

CiteScore

13.60

自引率

6.50%

发文量

1151

期刊介绍： IEEE Journal of Biomedical and Health Informatics publishes original papers presenting recent advances where information and communication technologies intersect with health, healthcare, life sciences, and biomedicine. Topics include acquisition, transmission, storage, retrieval, management, and analysis of biomedical and health information. The journal covers applications of information technologies in healthcare, patient monitoring, preventive care, early disease diagnosis, therapy discovery, and personalized treatment protocols. It explores electronic medical and health records, clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body area/sensor networks, and more. Integration-related topics like interoperability, evidence-based medicine, and secure patient data are also addressed.