Bio-metric authentication with electrocardiogram (ECG) by considering variable signalsopen access
- Authors
- Ko, Hoon; Rim, Kwangcheol; Hong, 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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Collections - Graduate School > Department of Cultural Contents > 1. Journal Articles
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