Individual identification via electrocardiogram analysis

Keyphrases

• Individual Identification 100%
• Biometric Recognition 100%
• Human Identification 100%
• Identification Rate 100%
• Equal Error Rate 100%
• Electrocardiogram Analysis 100%
• Further Analysis 50%
• Pattern Recognition 50%
• MEDLINE 50%
• Female Subjects 50%
• Peer-reviewed Journals 50%
• Overall Accuracy 50%
• Fiducial 50%
• English Language 50%
• Number of Subjects 50%
• Publicly Available 50%
• Recording Conditions 50%
• Conference Proceedings 50%
• Daily Activities 50%
• Web of Knowledge 50%
• Unifying Framework 50%
• Access Control 50%
• Appropriate Methodology 50%
• Physiological Signals 50%
• Scopus 50%
• Signal Features 50%
• ECG Features 50%
• PhysioNet 50%
• Identification Performance 50%
• Subject Identification 50%
• Hand Palm 50%
• Human Individual 50%
• Biometric Authentication 50%
• Non-fiducial 50%
• ECG Database 50%
• Human Biometrics 50%
• Electronic Applications 50%
• Single-lead 50%
• ECG Characteristics 50%
• Patient Handling 50%
• Verification Rate 50%
• Male Subjects 50%
• Living Individuals 50%
• Recording Sites 50%
• ECG Recognition 50%
• Journal Studies 50%
• Mature Field 50%
• ECG Recording 50%
• Electrocardiogram ECG 50%
• Rate Error 50%
• Electronic Source 50%
• Wearable Electronics 50%
• March 2015 50%

Computer Science

• Biometrics 100%
• Equal Error Rate 100%
• Pattern Recognition 50%
• Reviewed Journal 50%
• Individual Variability 50%
• Great Number 50%
• Published Research 50%
• Weighted Average 50%
• Access Control 50%
• Daily Activity 50%
• Physiological Signal 50%
• Biometric Authentication 50%
• Web of Science 50%
• Authentication 50%

Biochemistry, Genetics and Molecular Biology

• Electrocardiogram 100%
• Pattern Recognition 10%
• Medline 10%
• Web of Science 10%
• English (Language) 10%
• Scopus 10%