Zhong, Wei https://orcid.org/0000-0001-8186-7842
Liao, Lijuan
Guo, Xuemei
Wang, Guoli https://orcid.org/0000-0003-4031-7996
Funding for this research was provided by:
National Natural Science Foundation of China (61375080)
National Natural Science Foundation of China (61772574)
Key Program of Natural Science Foundation of Guangdong, China (2015A030311049)
Journal title: Physiological Measurement
Article type: paper
Article title: A deep learning approach for fetal QRS complex detection
Copyright information: © 2018 Institute of Physics and Engineering in Medicine
Publication dates
Date received: 2017-12-15
Date accepted: 2018-02-27
Online publication date: 2018-04-20