Evaluation of Electrocardiogram for Biometric Authentication

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Journal of Information Security

ISSN Print: 2153-1234
ISSN Online: 2153-1242
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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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CrossRef

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[15]	Phase Portrait of Electrocardiogram as a Means Of Biometry
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[16]	I Know You by Heart: Biometric Authentication based on Electrocardiogram (ECG) signals
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[17]	IoT-based multimodal liveness detection using the fusion of ECG and fingerprint
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[18]	Cancelable multibiometrics using random projection and fuzzy quantization for template protection
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[19]	CardioNet: An Efficient ECG Arrhythmia Classification System Using Transfer Learning
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[21]	ECG Biometric System for Human Recognition Based on the Possibility Theory
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[22]	A privacy-preserving ECG-based authentication system for securing wireless body sensor networks
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[38]	Heartbeats in the Wild: A Field Study Exploring ECG Biometrics in Everyday Life
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[39]	Multi-modal Authentication Using Score Fusion of ECG and Fingerprints
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[40]	Interval-Based LDA Algorithm for Electrocardiograms for Individual Verification
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[41]	Biometric Systems Utilising Health Data from Wearable Devices: Applications and Future Challenges in Computer Security
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[42]	Personal identity verification based ECG biometric using non-fiducial features.
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[53]	Telemetric Medical System to Support Cardiological Screening
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[54]	Effect of attacker characterization in ECG-based continuous authentication mechanisms for Internet of Things
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[55]	A Backpropagation Neural Network for ECG Biometric Human Identification
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[56]	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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[57]	Spatiotemporal features of electrocardiogram for biometric recognition
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[58]	Study on a Biometric Authentication Model based on ECG using a Fuzzy Neural Network
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[59]	Analyse et classification des maladies cardiaques et respiratoires en utilisant les operateurs et les systemes d'ordre fractionnaire.
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[60]	Evolution, Current Challenges, and Future Possibilities in ECG Biometrics
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[61]	Cancelable biometric authentication system based on ECG
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[62]	ECG authentication system design incorporating a convolutional neural network and generalized S-Transformation
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[63]	Finger ECG based Two-phase Authentication Using 1D Convolutional Neural Networks
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[64]	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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[65]	ECG and Fingerprint Bimodal Authentication
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[66]	Arrhythmia classification using ECG Signal based on BFO with LMA Classifier
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[67]	Novel Biometrics: Analysis of an Unattended Health Monitoring System
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[68]	IOT based monitoring system to detect the ECG of soldiers using GPS and GPRS.
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[70]	IOT based monitoring system to detect the ECG of soldiers using GPS and GPRS
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[71]	Χρήση ηλεκτροκαρδιογραφήματος για τη βιομετρική αυθεντικοποίηση χρηστών
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[73]	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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[76]	Novel wearable-type biometric devices based on skin tissue optics with multispectral LED–photodiode matrix
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[77]	Human recognition using discrete cosine transform and discriminant analysis of ECG
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[78]	곡률기반 기준점 검출을 이용한 계층적 심전도 신호 개인인증 알고리즘
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[79]	Using cloud models of heartbeats as the entity identifier to secure mobile devices
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[80]	Highly reliable key generation from electrocardiogram (ECG)
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[81]	Improved Gender Recognition during Stepping Activity for Rehab Application Using the Combinatorial Fusion Approach of EMG and HRV
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[82]	Lightweight Security Protocol for ECG Bio-Sensors
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[83]	Patient Identity Verification Based on Physiological Signal Fusion
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[84]	Cardiac Scan: A Non-Contact and Continuous Heart-Based User Authentication System
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[85]	Beat-ID: Towards a computationally low-cost single heartbeat biometric identity check system based on electrocardiogram wave morphology
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[86]	척추 측만 환자의 등 표면 깊이 정보 분석을 위한 곡률반경 기반의 사전 검사 알고리즘 개발
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[87]	Finger ECG-based authentication for healthcare data security using artificial neural network
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[88]	Neurological Evaluation of Infants with Evidence of a Hypoxic-Ischemic Event treated with Therapeutic Hypothermia
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[89]	Hierarchical authentication algorithm using curvature based fiducial point extraction of ECG signals
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[90]	. MULTIMODAL ESTIMATION OF HEARTBEAT PEAK LOCATIONS AND HEARTBEAT RATE FROM FACIAL VIDEO USING EMPIRICAL MODE …
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[91]	Biometrie voor Sterke Authenticatie
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[92]	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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[93]	Electrocardiogram-Kerberos authentication scheme for secure services
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[94]	EFFECT OF RISING HABIT ON HUMAN HEALTH USING ECG SIGNALS
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[95]	. MULTIMODAL ESTIMATION OF HEARTBEAT PEAK LOCATIONS AND HEARTBEAT RATE FROM FACIAL VIDEO USING EMPIRICAL MODE …
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[96]	State-of-the-Art in Biometrics for Multi-Factor Authentication in a Federative Context
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[97]	EFFECT OF RISING HABIT ON HUMAN HEALTH USING ECG SIGNALS.
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[98]	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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[100]	CaNViS: A cardiac and neurological-based verification system that uses wearable sensors
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[101]	Partial encryption of ECG with reduced complexity and its FPGA implementation
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[102]	Human recognition using Fisher׳ s discriminant analysis of heartbeat interval features and ECG morphology
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[103]	Estimation and verification of hybrid heart models for personalised medical and wearable devices
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[104]	Individual identification via electrocardiogram analysis
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[105]	Intruder recognition using ECG signal
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[106]	Block Projection Based Feature Extraction for Biometric Recognition with Multi-lead ECG
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[107]	Exploratory Use of PPG Signal in Continuous Authentication
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[108]	Non-invasive Multi-modal Human Identification System Combining ECG, GSR, and Airflow Biosignals
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[109]	QRS complex based human identification
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[110]	ECG biometric authentication using a dynamical model
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[111]	ECG-based biometric authentication using mulscale descriptors: ECG-based biometric authentication
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[112]	Wireless Chest-Based ECG Biometrics
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[113]	Real-Time Wireless ECG Biometrics with Mobile Devices
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[114]	Collective human biological signal-based identification and authentication in access control environments
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[115]	Individual Identification Using Linear Projection of Heartbeat Features
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[116]	A taxonomy of 2D and 3D face recognition methods
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[117]	Design and Preliminary Test of a Palm Bio-impedance Spectroscopy Measurement System for Biometric Authentication
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[118]	A system of biometric authentication based on ECG signal segmentation
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[119]	ECG Authentication for Mobile Device
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[120]	Intricacies of Secured Multi-Biometric System
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[121]	Research Article Identifying Individuals Using Eigenbeat Features of Electrocardiogram
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[122]	Biometric recognition system using low bandwidth ECG signals
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[123]	ECG Authentication for Mobile Devices
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[124]	Electrocardiogram Pattern Recognition and Analysis Based on Artificial Neural Networks and Support Vector Machines: A Review
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[125]	Finger ECG signal for user authentication: Usability and performance
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[126]	Identifying Individuals Using Eigenbeat Features of Electrocardiogram
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[127]	Discriminant Analysis for Identifying Individuals of Electrocardiogram
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[128]	Artifact Removal from Biosignal using Fixed Point ICA Algorithm for Pre-processing in Biometric Recognition
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[129]	Human Identification using Heartbeat Interval Features and ECG Morphology
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[130]	Identify Individuals using Eigenbeat Features of Electrocardiogram
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[131]	Analysis of Low Dimensional Radio Frequency Impedance based Cardio-Synchronous Waveforms for Biometric Authentication
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[132]	Individual identification using electrocardiogram morphology
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[133]	Instituto Superior de Engenharia de Lisboa, Lisbon, Portugal
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[134]	On the use of the electrocardiogram for biometrie authentication
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[135]	Challenges of Biometrics: Evaluation of System Attacks and Defenses.
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[136]	Bioelectrical signals as emerging biometrics: Issues and challenges
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[137]	ECG based human authentication using wavelets and random forests
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[138]	Heartbeat Signal from Facial Video for Biometric Recognition
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[139]	生体変動を吸収する差動型生体認証の提案: 予備検討


[140]	Multi-Modal Biometric System: An Approach towards Security Management in Vulnerable Location


[141]	PHASE PORTRAIT OF ELECTROCARDIOGRAPHY AS A MEANS OF BIOMETRY


[142]	Research Article Individual Identification Using Linear Projection of Heartbeat Features

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[10]	Phase Portrait of Electrocardiogram as a Means Of Biometry Cybernetics and Systems Analysis, 2022 DOI:10.1007/s10559-022-00479-6

[11]	Broken Heart: Privacy Leakage Analysis on ECG-Based Authentication Schemes Security and Communication Networks, 2022 DOI:10.1155/2022/7997509

[12]	A Privacy-Preserving ECG-Based Authentication System for Securing Wireless Body Sensor Networks IEEE Internet of Things Journal, 2022 DOI:10.1109/JIOT.2021.3109609

[13]	Biometric Individual Authentication System using High Performance ECG Fiducial Features 2022 5th International Symposium on Informatics and its Applications (ISIA), 2022 DOI:10.1109/ISIA55826.2022.9993496

[14]	Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning Sensors, 2021 DOI:10.3390/s21051568

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

[16]	ECG for Biometric Recognition Based on Hybrid Deep Neural Networks 2021 China Automation Congress (CAC), 2021 DOI:10.1109/CAC53003.2021.9727249

[17]	Advanced Methods for Human Biometrics Smart Sensors, Measurement and Instrumentation, 2021 DOI:10.1007/978-3-030-81982-8_4

[18]	Advanced Methods for Human Biometrics Smart Sensors, Measurement and Instrumentation, 2021 DOI:10.1007/978-3-030-81982-8_5

[19]	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

[20]	Biometric Systems Utilising Health Data from Wearable Devices ACM Computing Surveys, 2021 DOI:10.1145/3400030

[21]	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

[22]	Biometric Systems Utilising Health Data from Wearable Devices ACM Computing Surveys, 2021 DOI:10.1145/3400030

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

[24]	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

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

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

[27]	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

[28]	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

[29]	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

[30]	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

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

[32]	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

[33]	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

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

[35]	ECG and fingerprint bimodal authentication Sustainable Cities and Society, 2018 DOI:10.1016/j.scs.2017.12.023

[36]	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

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

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

[39]	Novel Biometrics: Analysis of an Unattended Health Monitoring System 2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2018 DOI:10.1109/BTAS.2018.8698600

[40]	Lightweight Security Protocol for ECG Bio-Sensors Wireless Personal Communications, 2017 DOI:10.1007/s11277-017-4147-x

[41]	Improved Gender Recognition during Stepping Activity for Rehab Application Using the Combinatorial Fusion Approach of EMG and HRV Applied Sciences, 2017 DOI:10.3390/app7040348

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

[43]	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

[44]	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

[45]	Cardiac Scan Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking - MobiCom '17, 2017 DOI:10.1145/3117811.3117839

[46]	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

[47]	Human recognition using discrete cosine transform and discriminant analysis of ECG 2017 Fourth International Conference on Image Information Processing (ICIIP), 2017 DOI:10.1109/ICIIP.2017.8313742

[48]	Using cloud models of heartbeats as the entity identifier to secure mobile devices Journal of Medical Engineering & Technology, 2017 DOI:10.1080/03091902.2016.1210684

[49]	Cardiac Scan Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, 2017 DOI:10.1145/3117811.3117839

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

[51]	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

[52]	Non-invasive Multi-modal Human Identification System Combining ECG, GSR, and Airflow Biosignals Journal of Medical and Biological Engineering, 2015 DOI:10.1007/s40846-015-0089-5

[53]	QRS complex based human identification 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2015 DOI:10.1109/ICSIPA.2015.7412198

[54]	ECG biometric authentication using a dynamical model 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2015 DOI:10.1109/BTAS.2015.7358757

[55]	Human recognition using Fisher׳s discriminant analysis of heartbeat interval features and ECG morphology Neurocomputing, 2015 DOI:10.1016/j.neucom.2015.04.063

[56]	Individual identification via electrocardiogram analysis BioMedical Engineering OnLine, 2015 DOI:10.1186/s12938-015-0072-y

[57]	CaNViS: A cardiac and neurological-based verification system that uses wearable sensors 2015 Third International Conference on Digital Information, Networking, and Wireless Communications (DINWC), 2015 DOI:10.1109/DINWC.2015.7054225

[58]	Computational Methods in Systems Biology Lecture Notes in Computer Science, 2015 DOI:10.1007/978-3-319-23401-4_1

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[62]	Analysis of Low-Dimensional Radio-Frequency Impedance-Based Cardio-Synchronous Waveforms for Biometric Authentication IEEE Transactions on Biomedical Engineering, 2014 DOI:10.1109/TBME.2013.2272038

[63]	Individual Identification Using Linear Projection of Heartbeat Features Applied Computational Intelligence and Soft Computing, 2014 DOI:10.1155/2014/602813

[64]	Analysis of Low-Dimensional Radio-Frequency Impedance-Based Cardio-Synchronous Waveforms for Biometric Authentication IEEE Transactions on Biomedical Engineering, 2014 DOI:10.1109/TBME.2013.2272038

[65]	Design and Preliminary Test of a Palm Bio-impedance Spectroscopy Measurement System for Biometric Authentication 2014 International Symposium on Computer, Consumer and Control, 2014 DOI:10.1109/IS3C.2014.218

[66]	Real-Time Wireless ECG Biometrics with Mobile Devices 2014 International Conference on Medical Biometrics, 2014 DOI:10.1109/ICMB.2014.34

[67]	A taxonomy of 2D and 3D face recognition methods 2014 International Conference on Signal Processing and Integrated Networks (SPIN), 2014 DOI:10.1109/SPIN.2014.6777054

[68]	A system of biometric authentication based on ECG signal segmentation 2014 22nd Iranian Conference on Electrical Engineering (ICEE), 2014 DOI:10.1109/IranianCEE.2014.6999845

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

[70]	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

[71]	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

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

[73]	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

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

[75]	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

[76]	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

[77]	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

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

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