Pain Assessment Using Multi-Kernel-FCN-LSTM and Haemoglobin Difference in fNIRS

Keyphrases

• Pain Assessment 100%
• Hemoglobin 100%
• Multiple Kernels 100%
• Near-infrared Spectroscopy 100%
• Classification Accuracy 40%
• Deep Machine Learning 20%
• Detection System 20%
• Deep Learning 20%
• Superior Performance 20%
• Binary Classification 20%
• Pain Detection 20%
• Grand Challenges 20%
• Deoxyhemoglobin 20%
• Oxyhemoglobin 20%
• Total Hemoglobin 20%
• Reliable Performance 20%
• Deep Learning Model 20%
• Machine Learning Learning 20%
• Traditional Learning 20%
• Fully Convolutional Network 20%
• Long Short-term Memory Model 20%
• HBO2 20%
• Key Biomarkers 20%
• Automated Pain Detection 20%
• Reliable Feature 20%

Chemical Engineering

• Deep Learning Method 100%
• Long Short-Term Memory Network 100%
• Learning System 50%
• Long Short-Term Memory 50%

Neuroscience

• Functional near Infrared Spectroscopy 100%
• Near Infrared Spectroscopy 33%
• Short-Term Memory 33%