ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions

The development and use of wearable devices require high levels of security and have sparked interest in biometric authentication research. Among the available approaches, electrocardiogram (ECG) technology is attracting attention because of its strengths in spoofing. However, morphological changes...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ho Bin Hwang, Hyeokchan Kwon, Byungho Chung, Jongshill Lee, In Young Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	biometrics authentication various physiological conditions ECG non-linear normalization Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/840925f3ee994d7c92638ddd9bae704c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:840925f3ee994d7c92638ddd9bae704c
record_format	dspace
spelling	oai:doaj.org-article:840925f3ee994d7c92638ddd9bae704c2021-11-11T19:00:56ZECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions10.3390/s212169661424-8220https://doaj.org/article/840925f3ee994d7c92638ddd9bae704c2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/6966https://doaj.org/toc/1424-8220The development and use of wearable devices require high levels of security and have sparked interest in biometric authentication research. Among the available approaches, electrocardiogram (ECG) technology is attracting attention because of its strengths in spoofing. However, morphological changes of ECG, which are affected by physical and psychological factors, can make authentication difficult. In this paper, we propose authentication using non-linear normalization of ECG beats that is robust to changes in ECG waveforms according to heart rate fluctuations in various daily activities. We performed a non-linear normalization method through the analysis of ECG alongside heart rate, evaluating similarities and authenticating the performance of our new method compared to existing methods. Compared with beats before normalization, the average similarity of the proposed method increased 23.7% in the resting state and 43% in the non-resting state. After learning in the resting state, authentication performance reached 99.05% accuracy for the resting state and 88.14% for the non-resting state. The proposed method can be applicable to an ECG-based authentication system under various physiological conditions.Ho Bin HwangHyeokchan KwonByungho ChungJongshill LeeIn Young KimMDPI AGarticlebiometricsauthenticationvarious physiological conditionsECGnon-linearnormalizationChemical technologyTP1-1185ENSensors, Vol 21, Iss 6966, p 6966 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	biometrics authentication various physiological conditions ECG non-linear normalization Chemical technology TP1-1185
spellingShingle	biometrics authentication various physiological conditions ECG non-linear normalization Chemical technology TP1-1185 Ho Bin Hwang Hyeokchan Kwon Byungho Chung Jongshill Lee In Young Kim ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions
description	The development and use of wearable devices require high levels of security and have sparked interest in biometric authentication research. Among the available approaches, electrocardiogram (ECG) technology is attracting attention because of its strengths in spoofing. However, morphological changes of ECG, which are affected by physical and psychological factors, can make authentication difficult. In this paper, we propose authentication using non-linear normalization of ECG beats that is robust to changes in ECG waveforms according to heart rate fluctuations in various daily activities. We performed a non-linear normalization method through the analysis of ECG alongside heart rate, evaluating similarities and authenticating the performance of our new method compared to existing methods. Compared with beats before normalization, the average similarity of the proposed method increased 23.7% in the resting state and 43% in the non-resting state. After learning in the resting state, authentication performance reached 99.05% accuracy for the resting state and 88.14% for the non-resting state. The proposed method can be applicable to an ECG-based authentication system under various physiological conditions.
format	article
author	Ho Bin Hwang Hyeokchan Kwon Byungho Chung Jongshill Lee In Young Kim
author_facet	Ho Bin Hwang Hyeokchan Kwon Byungho Chung Jongshill Lee In Young Kim
author_sort	Ho Bin Hwang
title	ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions
title_short	ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions
title_full	ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions
title_fullStr	ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions
title_full_unstemmed	ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions
title_sort	ecg authentication based on non-linear normalization under various physiological conditions
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/840925f3ee994d7c92638ddd9bae704c
work_keys_str_mv	AT hobinhwang ecgauthenticationbasedonnonlinearnormalizationundervariousphysiologicalconditions AT hyeokchankwon ecgauthenticationbasedonnonlinearnormalizationundervariousphysiologicalconditions AT byunghochung ecgauthenticationbasedonnonlinearnormalizationundervariousphysiologicalconditions AT jongshilllee ecgauthenticationbasedonnonlinearnormalizationundervariousphysiologicalconditions AT inyoungkim ecgauthenticationbasedonnonlinearnormalizationundervariousphysiologicalconditions
_version_	1718431656552955904

ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions

Ejemplares similares