NDLI: Electrocardiogram authentication method robust to dynamic morphological conditions

Content Provider	IET Digital Library
Author	Kim, Jeehoon Sung, Dongsuk Koh, Myung Jun Kim, Jason Park, Kwang Suk
Abstract	This study proposes a human authentication framework based on electrocardiogram signals that are robust to dynamic cardiac morphological conditions. The proposed method incorporates a stationary wavelet transform, an infinite feature selection, and a linear discriminant analysis. Evaluation experiments were conducted under three modulated situations: temporal variation, postural variation, and heart rate variation when exercising. Compared with three state-of-the-art methods, the performance of the proposed method was shown to be better overall, with an equal error rate (EER) of 1.48% under time-varying situations, 1.74% under posture changes, and 5.47% after exercise. These results indicate that the proposed method achieves a highly increased performance compared with state-of-the-art techniques. Further evaluation of the identification performance of the proposed method on two public databases shows that it performs better than previously proposed methods.
Starting Page	401
Ending Page	410
Page Count	10
ISSN	20474938
Volume Number	8
e-ISSN	20474946
Issue Number	Issue 6, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-bmt/8/6
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-bmt.2018.5183
Journal	IET Biometrics
Publisher Date	2019-06-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bioelectric Signal Biology And Medical Computing Cardiology Digital Signal Processing Dynamic Cardiac Morphological Condition Electrical Activity in Neurophysiological Processes Electrocardiogram Authentication Method Electrocardiogram Signal Electrocardiography Electrodiagnostics And Other Electrical Measurement Technique Equal Error Rate Evaluation Experiments Exercise Exercising Feature Extraction Feature Selection Function Theory And Analysis Heart Rate Variation Human Authentication Framework Identification Performance Infinite Feature Selection Integral Transforms Linear Discriminant Analysis Medical Signal Processing Postural Variation Posture Changes Probability Theory Signal Processing And Detection Stationary Wavelet Transform Statistical Analysis Statistics Stochastic Linearised SCUC Temporal Variation Time-varying Situations Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Computer Vision and Pattern Recognition Software

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