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Bio-metric authentication with electrocardiogram (ECG) by considering variable signalsopen access

Authors
Ko, HoonRim, KwangcheolHong, Jong Youl
Issue Date
2022
Publisher
AMER INST MATHEMATICAL SCIENCES-AIMS
Keywords
biometric authentication; electrocardiogram; variable signal; smart devices; wearable devices
Citation
MATHEMATICAL BIOSCIENCES AND ENGINEERING, v.20, no.2, pp.1716 - 1729
Indexed
SCIE
SCOPUS
Journal Title
MATHEMATICAL BIOSCIENCES AND ENGINEERING
Volume
20
Number
2
Start Page
1716
End Page
1729
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/147091
DOI
10.3934/mbe.2023078
ISSN
1547-1063
Abstract
The use of conventional bio-signals such as an electrocardiogram (ECG) for biometric authentication is vulnerable to a lack of verification of continuity of signals; this is because the system does not consider the change in signals caused by a change in the situation of a person, that is, conventional biological signals. Prediction technology based on tracking and analyzing new signals can overcome this shortcoming. However, since the biological signal data sets are massive, their utilization is crucial for higher accuracy. In this study, we defined a 10 x 10 matrix for 100 points based on the Rpeak point and an array for the dimension of the signals. Furthermore, we defined the future predicted signals by analyzing the continuous points in each array of the matrices at the same point. As a result, the accuracy of user authentication was 91%.
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