ECG analysis: a new approach in human identification
Анализ ЭКГ: новый подход к идентификации человека
2001-06-01
SCID: 54.1/7g6mkf2v
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12-lead electrocardiogramECG feature extractionECG-based human identificationmultivariate analysissingle-lead identification
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Abstract (AI)
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.
Key Findings
1
A standard 12-lead resting ECG can be used for human identification by extracting selected features.
2
Identification is possible using features from a single ECG lead, implying only three electrodes are required.
3
Multivariate analysis on ECG-derived features enables identification of individuals within a predetermined group.
4
The single-lead capability reduces setup effort, making the method practically applicable with minimal attachment of electrodes.
Research Object
Standard 12-lead resting electrocardiogram (ECG) recordings used for human identification
Research Subject
Identification of individuals using selected features extracted from ECG leads (including possibility of single-lead identification) via multivariate analysis
Publication Details
Publication Date
2001-06-01
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