ECG identification based on PCA-RPROP

Computer Science

• Information Security 100%
• k-Nearest Neighbors Algorithm 100%
• Feature Extraction 100%
• Research Community 50%
• Neural Network 50%
• Feature Selection 50%
• Time Efficiency 50%
• Support Vector Machine 50%
• Authentication 50%
• Information Redundancy 50%
• Propagation Algorithm 50%
• Biometric Identification 50%
• Recognition Algorithm 50%
• High Dimensionality 50%
• Recognition Accuracy 50%
• Biometric Feature 50%
• Wavelet Decomposition 50%
• Experimental Result 50%
• Information Technology 50%

Keyphrases

• Resilient Propagation 100%
• Electrocardiogram Identification 100%
• Information Security 50%
• Information Technology 25%
• Recognition Method 25%
• Multipoint 25%
• Neural Network 25%
• LIBSVM 25%
• Feature Classification 25%
• Feature Extraction 25%
• Information Redundancy 25%
• High Classification Accuracy 25%
• Point Localization 25%
• Redundancy 25%
• Biometric Features 25%
• Time Efficiency 25%
• Recognition Algorithm 25%
• PCA Features 25%
• Feature Selection 25%
• High Dimension 25%
• Information Properties 25%
• Wavelet Decomposition 25%
• Biometric Recognition 25%
• Propagation Algorithms 25%
• Recognition Model 25%
• Authentication Technology 25%
• Recognition Technology 25%
• BP Algorithm 25%
• Human Identification 25%