Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection

Computer Science

• Hardware Implementation 100%
• Seizure Detection 100%
• Support Vector Machine 100%
• Power Consumption 75%
• Field Programmable Gate Arrays 75%
• Application Specific Integrated Circuit 75%
• Feature Extraction 50%
• training algorithm 25%
• Classifier 25%
• Classification Algorithm 25%

Engineering

• Field Programmable Gate Arrays 100%
• Electric Power Utilization 100%
• Support Vector Machine 100%
• Application Specific Integrated Circuit 100%
• Feature Extraction 66%
• Classification Algorithm 33%

Keyphrases

• Low-cost Hardware 100%
• Machine Training 100%
• Machine Classification 100%
• Sequential Minimal Optimization Algorithm 33%
• Circuit Power Consumption 33%
• Powered Support 33%
• Virtex-7 33%
• Seizure Detection Algorithm 33%