Electrocardiogram for biometrics by using adaptive multilayer generalized learning vector quantization (AMGLVQ): Integrating feature extraction and classification

Keyphrases

• Feature Classification 100%
• Feature Extraction 100%
• Generalized Matrix Learning Vector Quantization (GMLVQ) 100%
• Biometrics 100%
• Integrated Features 100%
• Feature Extraction Methods 33%
• Inconsistency 33%
• Human Body 33%
• Classification Accuracy 33%
• Classification Methods 33%
• Backpropagation 33%
• Electrocardiogram Signal 33%
• Unknown Data 33%
• Imbalanced Data 33%
• Vital Signs Monitoring 33%
• Heartbeat Classification 33%
• Robustness to Attacks 33%
• Biometric Research 33%
• Human Identity Recognition 33%

Computer Science

• Vector Quantization 100%
• Biometrics 100%
• Feature Extraction 100%
• Classification Method 33%
• Support Vector Machine 33%
• Imbalanced Data 33%