Applicability of Hyperdimensional Computing for Seizure Prediction Using LBP and PSD Features from iEEG

Keyphrases

• Seizure Prediction 100%
• Hyperdimensional Computing 100%
• Power Spectral Density 100%
• Density Feature 100%
• Binary Power 100%
• Local Binary Pattern 100%
• Interictal 40%
• Seizure Detection 40%
• Seizure 20%
• Subject-specific 20%
• Number of Features 20%
• Performance Prediction 20%
• Validation Data 20%
• Publicly Available 20%
• Pattern-based Approach 20%
• Ictal 20%
• Cross-validation Method 20%
• Encoding Strategy 20%
• One-shot Learning 20%
• Preictal 20%
• Feature Select 20%
• Time Series Classification 20%
• Minimum Redundancy Maximum Relevance (mRMR) 20%
• Few-shot Learning 20%
• Kaggle Dataset 20%
• Power Spectral Density Method 20%
• Challenging Problems 20%
• Few Resources 20%

Neuroscience

• Seizure Prediction 100%
• Ictal 25%

Biochemistry, Genetics and Molecular Biology

• Ictal 100%