PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection-Reference-Cited by-同舟云学术

PA²Net: Period-Aware Attention Network for Robust Fetal ECG Detection

Published:2022 Issue: Volume:71 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Xu¹^ORCID,He Zhaoshui²^ORCID,Lin Zhijie³^ORCID,Han Yang⁴^ORCID,Liu Taiheng⁵^ORCID,Lu Jun⁵^ORCID,Xie Shengli⁵^ORCID

Affiliation:

1. School of Automation and the Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing, Guangdong University of Technology, Guangzhou, China

2. School of Automation and the Key Laboratory for IoT Intelligent Information Processing and System Integration of Ministry of Education, Guangdong University of Technology, Guangzhou, China

3. School of Automation and the Guangdong Key Laboratory of IoT Information Technology, Guangdong University of Technology, Guangzhou, China

4. Department of Obstetrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

5. School of Automation, Guangdong University of Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Guangdong Province Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09825666.pdf?arnumber=9825666

Reference45 articles.

1. Pytorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst (NIPS),2019

2. A Comparison of Single Channel Fetal ECG Extraction Methods

3. Noninvasive fetal ECG: The PhysioNet/computing in cardiology challenge 2013;silva;Proc Comput Cardiol,2013

4. Searching for Similarities in Nearly Periodic Signals With Application to ECG Data Compression

5. Cross-Modal Scene Networks

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