A novel human identification system based on electrocardiogram features
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CitationGürkan, H., Güz, Ü., & Yarman, B. S. B. (2013). A novel human identification system based on electrocardiogram features. Paper presented at the International Symposium on Signals, Circuits and Systems ISSCS2013, 1-4. doi:10.1109/ISSCS.2013.6651266
In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 subjects selected from the PTB database. This subset consists of 13 healthy and 17 non-healthy subjects who have two ECG records. The proposed biometric authentication approach achieves average frame recognition rate of %97.31 on the selected subset. Our experimental results imply that the frame recognition rate of the proposed authentication approach is better than that of ACDCT and MFCC based biometric authentication systems, individually.
SourceInternational Symposium on Signals, Circuits and Systems ISSCS2013
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