Evaluation of Electrocardiogram for Biometric Authentication

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Journal of Information Security

ISSN Print: 2153-1234
ISSN Online: 2153-1242
www.scirp.org/journal/jis
E-mail: jis@scirp.org

Google-based Impact Factor: 3.79
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"Evaluation of Electrocardiogram for Biometric Authentication"
written by Yogendra Narain Singh, S K Singh,
published by Journal of Information Security, Vol.3 No.1, 2012

has been cited by the following article(s):

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[1]	Fusion of Electrocardiogram and Arterial Blood Pressure Signals for Authentication in Wearable Medical Systems


[2]	Phase Portrait of Electrocardiogram as a Means Of Biometry
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[3]	I Know You by Heart: Biometric Authentication based on Electrocardiogram (ECG) signals
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[4]	Broken Heart: Privacy Leakage Analysis on ECG-Based Authentication Schemes
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[5]	IoT-based multimodal liveness detection using the fusion of ECG and fingerprint
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[6]	An Uncertainty-based Approach to Improve Accuracy of Biometric Metrics
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[7]	Statistical independence of ECG for biometric authentication
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[8]	ФАЗОВИЙ ПОРТРЕТ ЕЛЕКТРОКАРДІОГРАМИ ЯК ЗАСІБ БІОМЕТРІЇ
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[9]	ECG for Biometric Recognition Based on Hybrid Deep Neural Networks
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[10]	Security with ECG Biometrics
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[11]	CardioNet: An Efficient ECG Arrhythmia Classification System Using Transfer Learning
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[12]	Evaluation of Bone-Conducted Cross-Talk Sound in the Head for Biometric Identification
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[13]	Biometric authentication and identification through electrocardiogram signals
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[14]	ECG Biometric System for Human Recognition Based on the Possibility Theory
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[15]	A privacy-preserving ECG-based authentication system for securing wireless body sensor networks
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[16]	How to Dance Your Passwords: A Biometric MFA-Scheme for Identification and Authentication of Individuals in IIoT Environments
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[17]	Electrocardiogram Biometrics Recognition Menggunakan Artificial Neural Network
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[18]	Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning
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[19]	From the Quest to Replace Passwords towards Supporting Secure and Usable Password Creation
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[20]	Distinguishing Hearts: How Machine Learning identifies People based on their Heartbeat
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[21]	Personal identity verification based ECG biometric using non-fiducial features
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[22]	Feature extraction of electrocardiogram signal using machine learning classification
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[23]	QRS Differentiation to Improve ECG Biometrics under Different Physical Scenarios Using Multilayer Perceptron
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[24]	Towards an Accurate ECG Biometric Authentication System with Low Acquisition Time
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[25]	Low-cost fitness and activity trackers for biometric authentication
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[26]	A Novel Dual-Slope Based Electrocardiogram Peak Detection Method for Wearable Devices
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[27]	A Review on ECG-Based Biometric Authentication Systems
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[28]	Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life
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[29]	Multi-modal Authentication Using Score Fusion of ECG and Fingerprints
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[30]	Interval-Based LDA Algorithm for Electrocardiograms for Individual Verification
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[31]	Biometric Systems Utilising Health Data from Wearable Devices: Applications and Future Challenges in Computer Security
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[32]	Personal identity verification based ECG biometric using non-fiducial features.
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[33]	Biometric Template Protection Using Deep Learning
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[34]	Evaluation of consumers physiological and self-reported responses to elements of food packaging using biometrics and neural network modelling: Study using …
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[35]	ECG-based Biometric Authentication using Empirical Mode Decomposition and Support Vector Machines
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[36]	Autenticação Contínua e Segura Baseada em Sinais PPG e Comunicação Galvânica
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[37]	A Continuous User Authentication System Based on Galvanic Coupling Communication for s-Health
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[38]	An ECG-Based Authentication Scheme for Body Area Networks
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[39]	ECG SIGNAL ANALYSIS OF EARLY AND LATE RISERS: A POPULATION BASED CASE CONTROL STUDY
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[40]	The Flow of Triboplasma
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[41]	Biometric human recognition system based on ECG
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[42]	Telemetric Medical System to Support Cardiological Screening
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[43]	Effect of attacker characterization in ECG-based continuous authentication mechanisms for Internet of Things
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[44]	A Backpropagation Neural Network for ECG Biometric Human Identification
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[45]	Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case …
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[46]	Spatiotemporal features of electrocardiogram for biometric recognition
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[47]	Study on a Biometric Authentication Model based on ECG using a Fuzzy Neural Network
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[48]	Analyse et classification des maladies cardiaques et respiratoires en utilisant les operateurs et les systemes d'ordre fractionnaire.
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[49]	Evolution, Current Challenges, and Future Possibilities in ECG Biometrics
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[50]	Cancelable biometric authentication system based on ECG
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[51]	ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation
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[52]	Finger ECG based Two-phase Authentication Using 1D Convolutional Neural Networks
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[53]	Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study …
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[54]	ECG and Fingerprint Bimodal Authentication
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[55]	Arrhythmia classification using ECG Signal based on BFO with LMA Classifier
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[56]	Novel Biometrics: Analysis of an Unattended Health Monitoring System
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[57]	IOT based monitoring system to detect the ECG of soldiers using GPS and GPRS.
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[58]	Technological Model of Facial Recognition for the Identification of Patients in the Health Sector
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[59]	IOT based monitoring system to detect the ECG of soldiers using GPS and GPRS
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[60]	Χρήση ηλεκτροκαρδιογραφήματος για τη βιομετρική αυθεντικοποίηση χρηστών
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[61]	Cardiovascular Biometrics to Secure the Internet of Things
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[62]	Non-contact heart rate and blood pressure estimations from video analysis and machine learning modelling applied to food sensory responses: A case study for …
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[63]	Continuous biometric identification on the steering wheel
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[64]	Busisness plan: CardioSafety
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[65]	Novel wearable-type biometric devices based on skin tissue optics with multispectral LED–photodiode matrix
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[66]	Human recognition using discrete cosine transform and discriminant analysis of ECG
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[67]	곡률기반 기준점 검출을 이용한 계층적 심전도 신호 개인인증 알고리즘
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[68]	Using cloud models of heartbeats as the entity identifier to secure mobile devices
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[69]	Highly reliable key generation from electrocardiogram (ECG)
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[70]	Improved Gender Recognition during Stepping Activity for Rehab Application Using the Combinatorial Fusion Approach of EMG and HRV
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[71]	Lightweight Security Protocol for ECG Bio-Sensors
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[72]	Patient Identity Verification Based on Physiological Signal Fusion
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[73]	Cardiac Scan: A Non-Contact and Continuous Heart-Based User Authentication System
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[74]	Beat-ID: Towards a computationally low-cost single heartbeat biometric identity check system based on electrocardiogram wave morphology
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[75]	척추 측만 환자의 등 표면 깊이 정보 분석을 위한 곡률반경 기반의 사전 검사 알고리즘 개발
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[76]	Finger ECG-based authentication for healthcare data security using artificial neural network
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[77]	Neurological Evaluation of Infants with Evidence of a Hypoxic-Ischemic Event treated with Therapeutic Hypothermia
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[78]	Hierarchical authentication algorithm using curvature based fiducial point extraction of ECG signals
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[79]	. MULTIMODAL ESTIMATION OF HEARTBEAT PEAK LOCATIONS AND HEARTBEAT RATE FROM FACIAL VIDEO USING EMPIRICAL MODE …
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[80]	Biometrie voor Sterke Authenticatie
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[81]	生体変動を吸収する差動型生体認証の提案: 予備実験 (バイオメトリクス)
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[82]	Electrocardiogram-Kerberos authentication scheme for secure services
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[83]	EFFECT OF RISING HABIT ON HUMAN HEALTH USING ECG SIGNALS
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[84]	. MULTIMODAL ESTIMATION OF HEARTBEAT PEAK LOCATIONS AND HEARTBEAT RATE FROM FACIAL VIDEO USING EMPIRICAL MODE …
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[85]	State-of-the-Art in Biometrics for Multi-Factor Authentication in a Federative Context
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[86]	EFFECT OF RISING HABIT ON HUMAN HEALTH USING ECG SIGNALS.
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[87]	生体変動を吸収する差動型生体認証の提案: 予備実験
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[88]	Multiscale Feature Representation for ECG-based Human Identification
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[89]	CaNViS: A cardiac and neurological-based verification system that uses wearable sensors
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[90]	Partial encryption of ECG with reduced complexity and its FPGA implementation
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[91]	Human recognition using Fisher׳ s discriminant analysis of heartbeat interval features and ECG morphology
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[92]	Estimation and verification of hybrid heart models for personalised medical and wearable devices
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[93]	Individual identification via electrocardiogram analysis
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[94]	Intruder recognition using ECG signal
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[95]	Block Projection Based Feature Extraction for Biometric Recognition with Multi-lead ECG
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[96]	Exploratory Use of PPG Signal in Continuous Authentication
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[97]	Non-invasive Multi-modal Human Identification System Combining ECG, GSR, and Airflow Biosignals
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[98]	QRS complex based human identification
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[99]	ECG biometric authentication using a dynamical model
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[100]	ECG-based biometric authentication using mulscale descriptors: ECG-based biometric authentication
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[101]	Wireless Chest-Based ECG Biometrics
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[102]	Real-Time Wireless ECG Biometrics with Mobile Devices
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[103]	Collective human biological signal-based identification and authentication in access control environments
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[104]	Individual Identification Using Linear Projection of Heartbeat Features
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[107]	A system of biometric authentication based on ECG signal segmentation
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[109]	Intricacies of Secured Multi-Biometric System
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[110]	Biometric recognition system using low bandwidth ECG signals
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[111]	ECG Authentication for Mobile Devices
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[112]	Electrocardiogram Pattern Recognition and Analysis Based on Artificial Neural Networks and Support Vector Machines: A Review
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[113]	Finger ECG signal for user authentication: Usability and performance
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[114]	Identifying Individuals Using Eigenbeat Features of Electrocardiogram
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[115]	Discriminant Analysis for Identifying Individuals of Electrocardiogram
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[116]	Artifact Removal from Biosignal using Fixed Point ICA Algorithm for Pre-processing in Biometric Recognition
	Measurement Science Review, 2013

[117]	Human Identification using Heartbeat Interval Features and ECG Morphology
	Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Springer India, 2013

[118]	Identify Individuals using Eigenbeat Features of Electrocardiogram
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[119]	Analysis of Low Dimensional Radio Frequency Impedance based Cardio-Synchronous Waveforms for Biometric Authentication
	NULL 2013

[120]	Individual identification using electrocardiogram morphology
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[121]	Instituto Superior de Engenharia de Lisboa, Lisbon, Portugal
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[122]	On the use of the electrocardiogram for biometrie authentication
	Informatics and Systems (INFOS), 2012 8th International Conference on. IEEE, 2012

[123]	Challenges of Biometrics: Evaluation of System Attacks and Defenses.
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[124]	Bioelectrical signals as emerging biometrics: Issues and challenges
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[125]	ECG based human authentication using wavelets and random forests
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[126]	Heartbeat Signal from Facial Video for Biometric Recognition
	2011

[127]	A Hybrid Cyprosystem for Multibiometric Authentication and Template Protection


[128]	Cancelable multibiometrics using random projection and fuzzy quantization for template protection

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[18]	Distinguishing Hearts: How Machine Learning identifies People based on their Heartbeat 2021 Sixth International Conference on Advances in Biomedical Engineering (ICABME), 2021 DOI:10.1109/ICABME53305.2021.9604855

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[20]	Evaluation of Bone-Conducted Cross-Talk Sound in the Head for Biometric Identification Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications, 2021 DOI:10.1145/3489088.3489119

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[23]	Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020 DOI:10.1145/3313831.3376536

[24]	QRS Differentiation to Improve ECG Biometrics under Different Physical Scenarios Using Multilayer Perceptron Applied Sciences, 2020 DOI:10.3390/app10196896

[25]	Interval-Based LDA Algorithm for Electrocardiograms for Individual Verification Applied Sciences, 2020 DOI:10.3390/app10176025

[26]	A Novel Dual-Slope Based Electrocardiogram Peak Detection Method for Wearable Devices 2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE), 2020 DOI:10.1109/ICISCAE51034.2020.9236911

[27]	Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020 DOI:10.1145/3313831.3376536

[28]	A Continuous User Authentication System Based on Galvanic Coupling Communication for s-Health Wireless Communications and Mobile Computing, 2019 DOI:10.1155/2019/9361017

[29]	An ECG-Based Authentication Scheme for Body Area Networks 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME), 2019 DOI:10.1109/SIITME47687.2019.8990738

[30]	Finger ECG based Two-phase Authentication Using 1D Convolutional Neural Networks 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018 DOI:10.1109/EMBC.2018.8512263

[31]	Evolution, Current Challenges, and Future Possibilities in ECG Biometrics IEEE Access, 2018 DOI:10.1109/ACCESS.2018.2849870

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[33]	Non-Contact Heart Rate and Blood Pressure Estimations from Video Analysis and Machine Learning Modelling Applied to Food Sensory Responses: A Case Study for Chocolate Sensors, 2018 DOI:10.3390/s18061802

[34]	Spatiotemporal features of electrocardiogram for biometric recognition Multidimensional Systems and Signal Processing, 2018 DOI:10.1007/s11045-018-0593-1

[35]	Cancelable biometric authentication system based on ECG Multimedia Tools and Applications, 2018 DOI:10.1007/s11042-018-6300-2

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[39]	Highly Reliable Key Generation From Electrocardiogram (ECG) IEEE Transactions on Biomedical Engineering, 2017 DOI:10.1109/TBME.2016.2607020

[40]	Beat-ID: Towards a computationally low-cost single heartbeat biometric identity check system based on electrocardiogram wave morphology PLOS ONE, 2017 DOI:10.1371/journal.pone.0180942

[41]	Patient Identity Verification Based on Physiological Signal Fusion 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2017 DOI:10.1109/CHASE.2017.65

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[43]	Finger ECG-based authentication for healthcare data security using artificial neural network 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom), 2017 DOI:10.1109/HealthCom.2017.8210804

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[47]	ECG Authentication for Mobile Devices IEEE Transactions on Instrumentation and Measurement, 2016 DOI:10.1109/TIM.2015.2503863

[48]	ECG-based biometric authentication using mulscale descriptors: ECG-based biometric authentication 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2015 DOI:10.1109/ICIIBMS.2015.7439465

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[66]	Individual identification using electrocardiogram morphology 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2013 DOI:10.1109/MeMeA.2013.6549716

[67]	Biometric recognition system using low bandwidth ECG signals 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), 2013 DOI:10.1109/HealthCom.2013.6720731

[68]	Finger ECG signal for user authentication: Usability and performance 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2013 DOI:10.1109/BTAS.2013.6712689

[69]	Identifying Individuals Using Eigenbeat Features of Electrocardiogram Journal of Engineering, 2013 DOI:10.1155/2013/539284

[70]	Electrocardiogram Pattern Recognition and Analysis Based on Artificial Neural Networks and Support Vector Machines: A Review Journal of Healthcare Engineering, 2013 DOI:10.1260/2040-2295.4.4.465

[71]	Pattern Recognition and Machine Intelligence Lecture Notes in Computer Science, 2013 DOI:10.1007/978-3-642-45062-4_12

[72]	Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) Advances in Intelligent Systems and Computing, 2013 DOI:10.1007/978-81-322-1038-2_8

[73]	Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) Advances in Intelligent Systems and Computing, 2013 DOI:10.1007/978-81-322-1038-2_8

[74]	Bioelectrical Signals as Emerging Biometrics: Issues and Challenges ISRN Signal Processing, 2012 DOI:10.5402/2012/712032

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