Biometric verification by cross-correlation analysis of 12-lead ECG patterns: Ranking of the most reliable peripheral and chest leads

• Published in: Journal of Electrocardiology Vol. 50; no. 6; pp. 847 - 854
• Main Authors: Krasteva, Vessela, Jekova, Irena, Abächerli, Roger
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.11.2017; Elsevier BV; Elsevier Science Ltd
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Biometrics; Biometry; Biometry - methods; Correlation analysis; Cross-correlation analysis; Databases, Factual; Discriminant Analysis; ECG biometrics; Electrocardiography; Electrocardiography - methods; Female; Human identity recognition; Humans; Linear discriminant analysis; Male; Middle Aged; QRS, PQRST patterns; Retrospective Studies; Switzerland; Thorax; True verification rate; Linear discriminant analysis; ECG biometrics; QRS, PQRST patterns; True verification rate; Human identity recognition; Cross-correlation analysis

Electrocardiogram (ECG)-based biometrics relies on the most stable and unique beat patterns, i.e. those with maximal intra-subject and minimal inter-subject waveform differences seen from different leads. We investigated methodology to evaluate those differences, aiming to rank the most prominent si...