Achieving High Accuracy in Predicting Blood Flow Volume at the Arteriovenous Fistulas of Hemodialysis Patients by Intelligent Quality Assessment on PPGs

Physics & Astronomy

• blood flow 100%
• classifiers 41%
• waveforms 40%
• machine learning 38%
• predictions 24%
• positioning 15%
• illuminating 14%
• estimating 13%
• alternating current 13%
• signal to noise ratios 12%
• time measurement 12%
• direct current 11%

Engineering & Materials Science

• Blood 84%
• Photoplethysmography 77%
• Machine learning 26%
• Classifiers 25%
• Pressurization 22%
• Time measurement 20%
• Convolutional neural networks 16%
• Learning algorithms 15%
• Signal to noise ratio 15%
• Lighting 14%
• Neural networks 11%