ECG analysis: a new approach in human identification
- 1 June 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Instrumentation and Measurement
- Vol. 50 (3), 808-812
- https://doi.org/10.1109/19.930458
Abstract
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.Keywords
This publication has 7 references indexed in Scilit:
- A hybrid neuro-fuzzy system for ECG classification of myocardial infarctionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Personal identification using images of the human palmPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Neural and traditional techniques in diagnostic ECG classificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A security system based on human iris identification using wavelet transformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Effect of electrode positioning on ECG interpretation by computerJournal of Electrocardiology, 1997
- Possibilities of using neural networks for ECG classificationJournal of Electrocardiology, 1996
- Automatic recognition and analysis of human faces and facial expressions: a surveyPattern Recognition, 1992