ECG analysis: a new approach in human identification

Abstract

In this article a new approach in human identification is investigated. For this purpose a standard 12-lead electrocardiogram (EGG), recorded during rest, is used. Selected features extracted from the ECG are used to identify a person in a predetermined group. Multivariate analysis is used for the identification task. Experiments show that it is possible to identify a person by features extracted from one lead only. Hence only three electrodes has to be attached on the person to be identified. This makes the method applicable without too much effort.