An ECG classifier designed using modified decision based neural networks
Computers and Biomedical Research
Discriminant learning for face recognition
Discriminant learning for face recognition
Pattern Recognition
An introduction to biometric recognition
IEEE Transactions on Circuits and Systems for Video Technology
Exploring an evolutionary medical analytic wallet
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
A sequential procedure for individual identity verification using ECG
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Activity-aware ECG-based patient authentication for remote health monitoring
Proceedings of the 2009 international conference on Multimodal interfaces
Vitacode: electrocardiogram representation for biometric cryptography in body area networks
ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
On supporting anonymity in a BAN biometric framework
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Medical biometrics: the perils of ignoring time dependency
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Laser Doppler vibrometry measures of physiological function: evaluation of biometric capabilities
IEEE Transactions on Information Forensics and Security
Personalized information encryption using ECG signals with chaotic functions
Information Sciences: an International Journal
Enhancement of low sampling frequency recordings for ECG biometric matching using interpolation
Computer Methods and Programs in Biomedicine
Biometric verification of a subject through eye movements
Computers in Biology and Medicine
Fiducial feature reduction analysis for electrocardiogram (ECG) based biometric recognition
Journal of Intelligent Information Systems
A new non-exact aho-corasick framework for ECG classification
ACM SIGARCH Computer Architecture News
Check Your Biosignals Here: A new dataset for off-the-person ECG biometrics
Computer Methods and Programs in Biomedicine
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Security concerns increase as the technology for falsification advances. There are strong evidences that a difficult to falsify biometric trait, the human heartbeat, can be used for identity recognition. Existing solutions for biometric recognition from electrocardiogram (ECG) signals are based on temporal and amplitude distances between detected fiducial points. Such methods rely heavily on the accuracy of fiducial detection, which is still an open problem due to the difficulty in exact localization of wave boundaries. This paper presents a systematic analysis for human identification from ECG data. A fiducial-detection-based framework that incorporates analytic and appearance attributes is first introduced. The appearance-based approach needs detection of one fiducial point only. Further, to completely relax the detection of fiducial points, a new approach based on autocorrelation (AC) in conjunction with discrete cosine transform (DCT) is proposed. Experimentation demonstrates that the AC/DCT method produces comparable recognition accuracy with the fiducial-detection-based approach.