Predicting seizure onset based on time-frequency analysis of EEG signals

Keyphrases

• Seizure 100%
• Seizure Onset 100%
• Time-frequency Analysis 100%
• EEG Analysis 100%
• Prediction Accuracy 75%
• Epileptic Seizure 50%
• EEG Signals 50%
• Seizure Prediction 50%
• Effective Techniques 25%
• Post-processing Techniques 25%
• Support Vector Machine 25%
• Chronic Disease 25%
• Discrete Wavelet Transform 25%
• Feature Extraction Methods 25%
• Carers 25%
• Preventive Measures 25%
• Classification Methods 25%
• Early Prediction 25%
• Epilepsy 25%
• Existing Techniques 25%
• Sensitivity Specificity 25%
• Feature Classification 25%
• Sudden Change 25%
• Performance Comparison 25%
• Electric Wave 25%
• Classification Prediction 25%
• Early Seizures 25%
• Abnormal Change 25%
• Sensitivity Prediction 25%
• Specificity Prediction 25%
• Time-frequency Feature Extraction 25%
• Seizure Occurrence 25%
• Sensitivity Classification 25%

Neuroscience

• Electroencephalography 100%
• Epileptic Seizure 66%
• Seizure Prediction 66%
• Support Vector Machine 33%

Pharmacology, Toxicology and Pharmaceutical Science

• Seizure 100%
• Chronic Disease 50%