Classification of oximetry signals using Bayesian neural networks to assist in the detection of obstructive sleep apnoea syndrome

Keyphrases

• Bayesian Neural Network 100%
• Obstructive Sleep Apnea-hypopnea Syndrome (OSAHS) 100%
• Oximetry 100%
• Multilayer Perceptron 80%
• Maximum Likelihood 40%
• SaO2 40%
• Multilayer Perceptron Classifier 40%
• Overfitting 20%
• Bayesian Framework 20%
• Training Set 20%
• Spectral Analysis 20%
• Timing Analysis 20%
• Multilayer Perceptron Neural Network (MLPNN) 20%
• Nocturnal Oximetry 20%
• Oxygen Saturation 20%
• Nocturnal Polysomnography 20%
• Syndrome Detection 20%

Neuroscience

• Neural Network 100%
• Perceptron 100%
• Obstructive Sleep Apnea 100%
• Polysomnography 14%
• Oxygen Saturation 14%
• Pulse Oximetry 14%

Medicine and Dentistry

• Obstructive Sleep Apnea 100%
• Oximetry 100%
• Maximum Likelihood Method 40%
• Pulse Oximetry 20%
• Spectroscopy 20%
• Oxygen Saturation 20%
• Polysomnography 20%