DeepArousal-Net: A Multi-Block Recurrent Deep Learning Model for Proactive Forecasting of Non-Apneic Arousals From Multichannel PSG

Keyphrases

• Airflow 33%
• Bidirectional Long Short-Term Memory (BiLSTM) 33%
• Block Architecture 33%
• Convolutional Neural Network 33%
• Daytime Fatigue 33%
• Deep Learning Model 100%
• Event Detection System 33%
• Feature Extraction 33%
• Innovative Interventions 33%
• Management Strategies 33%
• Multi-channel 100%
• Net-ability 33%
• Non-apnea 33%
• Overall Well-being 33%
• Oxygen Saturation 33%
• Polysomnography 100%
• Polysomnography Signals 33%
• Recurrent Deep Learning 100%
• Sleep Continuity 33%
• Sleep Management 33%
• Sleep Quality 33%
• Superior Performance 33%
• Temporal Dependency 33%
• Time Series Forecasting Model 33%

Neuroscience

• Electrocardiography 33%
• Electroencephalography 33%
• Electromyography 33%
• Neural Network 33%
• Oxygen Saturation 33%
• Polysomnography 100%
• Short-Term Memory 33%
• Sleep Quality 33%