Individual Identification Using Linear Projection of Heartbeat Features
This paper presents a novel method to use the electrocardiogram (ECG) signal as biometrics for individual identification. The ECG characterization is performed using an automated approach consisting of analytical and appearance methods. The analytical method extracts the fiducial features from hear...
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Main Author: | |
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Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
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Series: | Applied Computational Intelligence and Soft Computing |
Online Access: | http://dx.doi.org/10.1155/2014/602813 |
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