Multi-Class Classification of Abnormal Heartbeat Detection using Hyperdimensional Computing

Keyphrases

• Hyperdimensional Computing 100%
• Multi-class Classification 100%
• Abnormal Heartbeat Detection 100%
• Feature Selection Methods 83%
• Ranking Features 66%
• Minimum Redundancy Maximum Relevance (mRMR) 50%
• Feature Selection 33%
• Classification Task 33%
• AUC Value 33%
• Computing Methods 33%
• One-vs-One 33%
• Relevance Feature 33%
• Saint Petersburg 16%
• Brain-inspired Computing 16%
• Group-specific 16%
• Area under the Receiver Operating Characteristic Curve 16%
• Support Vector Machine 16%
• Selected Features 16%
• Concatenated 16%
• Test Accuracy 16%
• Low Dimensionality 16%
• Stable Performance 16%
• 12-lead 16%
• Multi-class 16%
• Heartbeat Detection 16%
• Computing Approach 16%
• Accuracy Performance 16%
• Multilayer Perceptron 16%
• Hypervectors 16%
• Hyperdimensional 16%
• MIT-BIH Arrhythmia Database 16%
• Arrhythmia Database 16%

Computer Science

• Feature Selection 100%
• Multi Class Classification 100%
• Multiclass Classification 100%
• Minimum Redundancy 42%
• Classification Task 28%
• Feature Extraction 28%
• Support Vector Machine 14%
• Characteristic Curve 14%
• Multilayer Perceptron 14%

Engineering

• Feature Extraction 100%
• Multiclass Classification 100%
• Selection Method 71%
• Dimensionality 28%
• Classification Task 28%
• Receiver Operating Characteristic 14%
• Operating-Characteristic Curve 14%
• Perceptron 14%
• Support Vector Machine 14%