A deep learning approach to phase-space analysis for seizure detection

Keyphrases

• Deep Learning Methods 100%
• Seizure Detection 100%
• Epileptic Patients 100%
• Phase Space Analysis 100%
• Seizure 33%
• Clinical Setting 33%
• Root Mean Square Error 33%
• Responsive Neurostimulation 33%
• Highly Accurate 33%
• Closed-loop 33%
• Testing Data 33%
• EEG Data 33%
• Recent Technology 33%
• Seizure Onset 33%
• Embedding Space 33%
• Neurostimulation Therapies 33%
• Deep Convolutional Neural Network (deep CNN) 33%
• Convolutional Neural Network 33%
• Ambulatory Care 33%
• Scalp Electroencephalogram 33%
• Sample Testing 33%
• Nonlinear Phase 33%
• Adjusted R-Squared 33%
• Automated Seizure Detection 33%
• Seizure Detection Algorithm 33%
• Delay Embedding 33%
• Phase Space Reconstruction 33%
• Epileptic Seizure Detection 33%

Neuroscience

• Neural Network 100%
• Neurostimulation 50%
• Epileptic Seizure 50%

Medicine and Dentistry

• Epileptic Seizure 100%
• Scalp 20%
• Neurostimulation 20%
• Ambulatory Care 20%