title: A robust human identification by normalized time-domain features of electrocardiogram.
abstract: This study investigates the possibility of using the normalized time-domain features of Electrocardiogram (ECG) for improving the capability of human identification. For this purpose, we measured lead-1 rest ECG (normal heart rate) and physically active one (fast heart rate) from the pre-selected group. The characteristic points on the ECG waveform, P, QRS, T are extracted in terms of its time location and the ECG data is reconstructed in beat-by-beat basis by Fourier synthesis. R-T interval, Q-T interval, and QRS interval on the reconstructed ECG sequence in rest and in physical active mode are computed. The beat-by-beat based discriminatory analysis is performed on the rest and physical active ECG data by applying Malalanobis distance between these intervals.
authors.affiliation: Biomedical Engineering Department, Konkuk University, Chungju, 380-701, Korea (phone: +82-43-840-3765; fax: +82-43-851-0620; e-mail: kyeong@kku.ac.kr).
authors.forename: Kyeong-Seop
authors.initials: KS
authors.lastname: Kim
authors.forename: Tae-Ho
authors.initials: TH
authors.lastname: Yoon
authors.forename: Jeong-Whan
authors.initials: JW
authors.lastname: Lee
authors.forename: Dong-Jun
authors.initials: DJ
authors.lastname: Kim
authors.forename: Heung-Seo
authors.initials: HS
authors.lastname: Koo