ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis

2023/10/24 by Clara García-Vicente, Gonzalo C. Gutiérrez‐Tobal, Gonzalo C. Gutiérrez-Tobal +5 · 4 citations
Medicine · Engineering · #Obstructive Sleep Apnea Research #Tracheal and airway disorders #Advanced Sensor and Energy Harvesting Materials

paper · doi:10.1016/j.compbiomed.2023.107628

Citations

• Robust Estimation of a Location Parameter
• A Coefficient of Agreement for Nominal Scales
• SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals

Cited by

• Deep learning approaches for assessing pediatric sleep apnea severity through SpO2 signals. [europepmc]
• An Explainable Deep-Learning Approach to Detect Pediatric Sleep Apnea From Single-Channel Airflow. [europepmc]
• Artificial intelligence in the diagnosis and management of congenital heart disease in children: A 25-year bibliometric analysis. [europepmc]
• EvoApneaFormer: an IoT and prognostic evolutionary deep learning-based framework for real-time multi-event sleep apnea disorder detection and remote monitoring [europepmc]