Urtnasan, Erdenebayar
Park, Jong-Uk
Lee, Kyoung-Joung
Funding for this research was provided by:
The Human Resource Training Program for Regional Innovation and Creativity through the Ministry of Education and National Research Foundation of Korea (NRF-2014H1C1A1063845)
Journal title: Physiological Measurement
Article type: paper
Article title: Multiclass classification of obstructive sleep apnea/hypopnea based on a convolutional neural network from a single-lead electrocardiogram
Copyright information: © 2018 Institute of Physics and Engineering in Medicine
Publication dates
Date received: 2018-02-13
Date accepted: 2018-05-24
Online publication date: 2018-06-20