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ECG analysis: a new approach in human identification

IEEE Transactions on Instrumentation and Measurement · 2001 · Vol. 50(3) · pp. 808–812

Lena Biel✉(Örebro University)Ola Pettersson(Örebro University)L. Philipson(Örebro University)Peter Wide(Örebro University)

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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.

ECG Monitoring and Analysis Advanced Chemical Sensor Technologies EEG and Brain-Computer InterfacesIdentification (biology)Computer scienceArtificial intelligenceTask (project management)Multivariate statisticsPattern recognition (psychology)ElectrocardiographyData miningMachine learningEngineering