Automated recognition of patients with obstructive sleep apnoea using wavelet-based features of electrocardiogram recordings

Engineering

• Support Vector Machine 100%
• Extracted Feature 40%
• Heart Rate Variability 40%
• Test Result 20%
• Parameter Set 20%
• Test Data 20%
• Wavelet Decomposition 20%
• Initial Assessment 20%
• Classification Performance 20%
• Nearest Neighbor 20%

Neuroscience

• Support Vector Machine 100%
• Obstructive Sleep Apnea 100%
• Heart Rate Variability 40%
• Neural Network 20%

Computer Science

• Support Vector Machine 100%
• Extracted Feature 40%
• Linear Discriminant 20%
• Classification Performance 20%
• Neural Network 20%
• Wavelet Decomposition 20%