In this paper a new approach in human identification is investigated, For t
his purpose, a standard 12-lead electrocardiogram (ECG) recorded during res
t is used. Selected features extracted from the ECG are used to identify a
person in a predetermined group. Multivariate analysis is used for the iden
tification task.
Experiments show that it is possible to identify a person by features extra
cted from one lead only. Hence, only three electrodes have to be attached o
n the person to be identified. This makes the method applicable without too
much effort.