ECG-derived heart rate variability interpolation and 1-D convolutional neural networks for detecting sleep apnea

Engineering & Materials Science

• Sleep 97%
• Electrocardiography 90%
• Convolutional neural networks 83%
• Interpolation 77%
• Feature extraction 42%
• Logistic regression 20%
• Image classification 19%
• Deep learning 16%
• Support vector machines 14%
• Classifiers 12%
• Testing 9%

Medicine & Life Sciences

• Sleep Apnea Syndromes 100%
• Electrocardiography 75%
• Heart Rate 67%
• Deep Learning 42%
• Support Vector Machine 37%
• Area Under Curve 25%
• Datasets 24%
• Logistic Models 20%