Why the study?
Can features extracted from a resting ECG be used for human identification?
Can features extracted from a resting ECG be used for human identification?
ECG features extracted from a single lead can be used as a biometric tool for human identification.
Single-lead ECG biometrics may enable identification; hypothesis-generating and requires prospective validation before clinical use.
A new approach in human identification is investigated. For this purpose, a standard 12-lead electrocardiogram (ECG) 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 have to be attached on the person to be identified. This makes the method applicable without too much effort.
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Biel et al. (2001) studied this question.
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