A Sleep Apnea Detection System Based on a One-Dimensional Deep Convolution Neural Network Model Using Single-Lead Electrocardiogram

• Published in: Sensors (Basel, Switzerland) Vol. 20; no. 15; p. 4157
• Main Authors: Chang, Hung-Yu, Yeh, Cheng-Yu, Lee, Chung-Te, Lin, Chun-Cheng
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.07.2020; MDPI
• Subjects: convolutional neural network; Datasets; deep learning; Electrocardiography; Humans; Neural networks; Neural Networks, Computer; obstructive sleep apnea; Polysomnography; Respiration; single-lead electrocardiogram; Sleep apnea; Sleep Apnea Syndromes - diagnosis; obstructive sleep apnea; deep learning; single-lead electrocardiogram; convolutional neural network

Many works in recent years have been focused on developing a portable and less expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of using the inconvenient and expensive polysomnography (PSG). This study proposes a sleep apnea detection system based on a one-dimensi...