A robust human identification by normalized time-domain features of electrocardiogram.
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.
Kim
Kyeong-Seop
KS
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).
Yoon
Tae-Ho
TH
Lee
Jeong-Whan
JW
Kim
Dong-Jun
DJ
Koo
Heung-Seo
HS