A machine learning algorithm for the automatic detection of ictal activity using energy and synchronization features

Engineering

• Support Vector Machine 100%
• Machine Learning Algorithm 100%
• Collected Data 33%
• Pediatric Patient 33%
• Early Detection 33%
• Feedforward 33%
• Multichannel 33%
• Feature Vector 33%
• Extracted Feature 33%
• Condition Number 33%
• Single Feature 33%

Keyphrases

• Single-channel EEG 20%
• Signal Enhancement 20%
• EEG Channels 20%
• Feature Prior 20%
• Video-EEG Monitoring 20%
• EEG Features 20%
• Synchronization Level 20%

Neuroscience

• Video-EEG Monitoring 12%