Relevant bibliographies by topics / EKG biometrie

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'EKG biometrie'

Author: Grafiati
Published: 28 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "EKG biometrie"

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Singh, Yogendra Narain, Sanjay Kumar Singh, and Amit Kumar Ray. "Bioelectrical Signals as Emerging Biometrics: Issues and Challenges." ISRN Signal Processing 2012 (July 26, 2012): 1–13. http://dx.doi.org/10.5402/2012/712032.

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This paper presents the effectiveness of bioelectrical signals such as the electrocardiogram (ECG) and the electroencephalogram (EEG) for biometric applications. Studies show that the impulses of cardiac rhythm and electrical activity of the brain recorded in ECG and EEG, respectively; have unique features among individuals, therefore they can be suggested to be used as biometrics for identity verification. The favourable characteristics to use the ECG or EEG signals as biometric include universality, measurability, uniqueness and robustness. In addition, they have the inherent feature of vitality that signifies the life signs offering a strong protection against spoof attacks. Unlike conventional biometrics, the ECG or EEG is highly confidential and secure to an individual which is difficult to be forged. We present a review of methods used for the ECG and EEG as biometrics for individual authentication and compare their performance on the datasets and test conditions they have used. We illustrate the challenges involved in using the ECG or EEG as biometric primarily due to the presence of drastic acquisition variations and the lack of standardization of signal features. In order to determine the large-scale performance, individuality of the ECG or EEG is another challenge that remains to be addressed.
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Herbadji, Abderrahmane, Zahid Akhtar, Kamran Siddique, Noubeil Guermat, Lahcene Ziet, Mohamed Cheniti, and Khan Muhammad. "Combining Multiple Biometric Traits Using Asymmetric Aggregation Operators for Improved Person Recognition." Symmetry 12, no. 3 (March 10, 2020): 444. http://dx.doi.org/10.3390/sym12030444.

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Biometrics is a scientific technology to recognize a person using their physical, behavior or chemical attributes. Biometrics is nowadays widely being used in several daily applications ranging from smart device user authentication to border crossing. A system that uses a single source of biometric information (e.g., single fingerprint) to recognize people is known as unimodal or unibiometrics system. Whereas, the system that consolidates data from multiple biometric sources of information (e.g., face and fingerprint) is called multimodal or multibiometrics system. Multibiometrics systems can alleviate the error rates and some inherent weaknesses of unibiometrics systems. Therefore, we present, in this study, a novel score level fusion-based scheme for multibiometric user recognition system. The proposed framework is hinged on Asymmetric Aggregation Operators (Asym-AOs). In particular, Asym-AOs are estimated via the generator functions of triangular norms (t-norms). The extensive set of experiments using seven publicly available benchmark databases, namely, National Institute of Standards and Technology (NIST)-Face, NIST-Multimodal, IIT Delhi Palmprint V1, IIT Delhi Ear, Hong Kong PolyU Contactless Hand Dorsal Images, Mobile Biometry (MOBIO) face, and Visible light mobile Ocular Biometric (VISOB) iPhone Day Light Ocular Mobile databases have been reported to show efficacy of the proposed scheme. The experimental results demonstrate that Asym-AOs based score fusion schemes not only are able to increase authentication rates compared to existing score level fusion methods (e.g., min, max, t-norms, symmetric-sum) but also is computationally fast.
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Damaševičius, Robertas, Rytis Maskeliūnas, Egidijus Kazanavičius, and Marcin Woźniak. "Combining Cryptography with EEG Biometrics." Computational Intelligence and Neuroscience 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/1867548.

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Cryptographic frameworks depend on key sharing for ensuring security of data. While the keys in cryptographic frameworks must be correctly reproducible and not unequivocally connected to the identity of a user, in biometric frameworks this is different. Joining cryptography techniques with biometrics can solve these issues. We present a biometric authentication method based on the discrete logarithm problem and Bose-Chaudhuri-Hocquenghem (BCH) codes, perform its security analysis, and demonstrate its security characteristics. We evaluate a biometric cryptosystem using our own dataset of electroencephalography (EEG) data collected from 42 subjects. The experimental results show that the described biometric user authentication system is effective, achieving an Equal Error Rate (ERR) of 0.024.
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Yin, Jing Hai, Zheng Dong Mu, and Jian Feng Hu. "Design of Identification System Based on BCI." Applied Mechanics and Materials 496-500 (January 2014): 1975–78. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1975.

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Nowadays EEG-based identification biometric research becomes a new topic. Due to the current biometric technology are still exist some problems, therefore, an urgent needed is to find a new biometric technology. In this paper, we use EEG signals as biometrics, which is home to a new biometric research trends, cutting-edge and exploratory nature, there is a good prospect. We establish a set of EEG-based identification systems and medium-sized EEG signatures, explore effective methods of analysis biometric technology to make up for past deficiencies, to further improve and develop the theory of biometric technologies and applications for EEG-based identification technology promotion foundation.
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S. Raju, A., and V. Udayashankara. "A Survey on Unimodal, Multimodal Biometrics and Its Fusion Techniques." International Journal of Engineering & Technology 7, no. 4.36 (December 9, 2018): 689. http://dx.doi.org/10.14419/ijet.v7i4.36.24224.

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Presently, a variety of biometric modalities are applied to perform human identification or user verification. Unimodal biometric systems (UBS) is a technique which guarantees authentication information by processing distinctive characteristic sequences and these are fetched out from individuals. However, the performance of unimodal biometric systems restricted in terms of susceptibility to spoof attacks, non-universality, large intra-user variations, and noise in sensed data. The Multimodal biometric systems defeat various limitations of unimodal biometric systems as the sources of different biometrics typically compensate for the inherent limitations of one another. The objective of this article is to analyze various methods of information fusion for biometrics, and summarize, to conclude with direction on future research proficiency in a multimodal biometric system using ECG, Fingerprint and Face features. This paper is furnished as a ready reckoner for those researchers, who wish to persue their work in the area of biometrics.
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Elshahed, Marwa A. "Personal identity verification based ECG biometric using non-fiducial features." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 3 (June 1, 2020): 3007. http://dx.doi.org/10.11591/ijece.v10i3.pp3007-3013.

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Biometrics was used as an automated and fast acceptable technology for human identification and it may be behavioral or physiological traits. Any biometric system based on identification or verification modes for human identity. The electrocardiogram (ECG) is considered as one of the physiological biometrics which impossible to mimic or stole. ECG feature extraction methods were performed using fiducial or non-fiducial approaches. This research presents an authentication ECG biometric system using non-fiducial features obtained by Discrete Wavelet Decomposition and the Euclidean Distance technique was used to implement the identity verification. From the obtained results, the proposed system accuracy is 96.66% also, using the verification system is preferred for a large number of individuals as it takes less time to get the decision.
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Kim, Hanvit, Haena Kim, Se Chun, Jae-Hwan Kang, Ian Oakley, Youryang Lee, Jun Ryu, et al. "A Wearable Wrist Band-Type System for Multimodal Biometrics Integrated with Multispectral Skin Photomatrix and Electrocardiogram Sensors." Sensors 18, no. 8 (August 20, 2018): 2738. http://dx.doi.org/10.3390/s18082738.

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Multimodal biometrics are promising for providing a strong security level for personal authentication, yet the implementation of a multimodal biometric system for practical usage need to meet such criteria that multimodal biometric signals should be easy to acquire but not easily compromised. We developed a wearable wrist band integrated with multispectral skin photomatrix (MSP) and electrocardiogram (ECG) sensors to improve the issues of collectability, performance and circumvention of multimodal biometric authentication. The band was designed to ensure collectability by sensing both MSP and ECG easily and to achieve high authentication performance with low computation, efficient memory usage, and relatively fast response. Acquisition of MSP and ECG using contact-based sensors could also prevent remote access to personal data. Personal authentication with multimodal biometrics using the integrated wearable wrist band was evaluated in 150 subjects and resulted in 0.2% equal error rate ( EER ) and 100% detection probability at 1% FAR (false acceptance rate) ( PD . 1 ), which is comparable to other state-of-the-art multimodal biometrics. An additional investigation with a separate MSP sensor, which enhanced contact with the skin, along with ECG reached 0.1% EER and 100% PD . 1 , showing a great potential of our in-house wearable band for practical applications. The results of this study demonstrate that our newly developed wearable wrist band may provide a reliable and easy-to-use multimodal biometric solution for personal authentication.
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Jain, Rubal, and Chander Kant. "Attacks on Biometric Systems: An Overview." International Journal of Advances in Scientific Research 1, no. 7 (September 3, 2015): 283. http://dx.doi.org/10.7439/ijasr.v1i7.1975.

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Biometrics is a pattern recognition system that refers to the use of different physiological (face, fingerprints, etc.) and behavioral (voice, gait etc.) traits for identification and verification purposes. A biometrics-based personal authentication system has numerous advantages over traditional systems such as token-based (e.g., ID cards) or knowledge-based (e.g., password) but they are at the risk of attacks. This paper presents a literature review of attack system architecture and makes progress towards various attack points in biometric system. These attacks may compromise the template resulting in reducing the security of the system and motivates to study existing biometric template protection techniques to resist these attacks.
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Hagras, Shaimaa, Reham R. Mostafa, and Ahmed Abou elfetouh. "A Biometric System Based on Single-channel EEG Recording in One-second." International Journal of Intelligent Systems and Applications 12, no. 5 (October 8, 2020): 28–40. http://dx.doi.org/10.5815/ijisa.2020.05.03.

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In recent years, there are great research interests in using the Electroencephalogram (EEG) signals in biometrics applications. The strength of EEG signals as a biometric comes from its major fraud prevention capability. However, EEG signals are so sensitive, and many factors affect its usage as a biometric; two of these factors are the number of channels, and the required time for acquiring the signal; these factors affect the convenience and practicality. This study proposes a novel approach for EEG-based biometrics that optimizes the channels of acquiring data to only one channel. And the time to only one second. The results are compared against five commonly used classifiers named: KNN, Random Forest (RF), Support Vector Machine (SVM), Decision Tables (DT), and Naïve Bayes (NB). We test the approach on the public Texas data repository. The results prove the constancy of the approach for the eight minutes. The best result of the eyes-closed scenario is Average True Positive Rate (TPR) 99.1% and 98.2% for the eyes-opened. And it reaches 100% for multiple subjects.
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Tirado-Martin, Paloma, and Raul Sanchez-Reillo. "BioECG: Improving ECG Biometrics with Deep Learning and Enhanced Datasets." Applied Sciences 11, no. 13 (June 24, 2021): 5880. http://dx.doi.org/10.3390/app11135880.

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Nowadays, Deep Learning tools have been widely applied in biometrics. Electrocardiogram (ECG) biometrics is not the exception. However, the algorithm performances rely heavily on a representative dataset for training. ECGs suffer constant temporal variations, and it is even more relevant to collect databases that can represent these conditions. Nonetheless, the restriction in database publications obstructs further research on this topic. This work was developed with the help of a database that represents potential scenarios in biometric recognition as data was acquired in different days, physical activities and positions. The classification was implemented with a Deep Learning network, BioECG, avoiding complex and time-consuming signal transformations. An exhaustive tuning was completed including variations in enrollment length, improving ECG verification for more complex and realistic biometric conditions. Finally, this work studied one-day and two-days enrollments and their effects. Two-days enrollments resulted in huge general improvements even when verification was accomplished with more unstable signals. EER was improved in 63% when including a change of position, up to almost 99% when visits were in a different day and up to 91% if the user experienced a heartbeat increase after exercise.
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Dissertations / Theses on the topic "EKG biometrie"

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Waloszek, Vojtěch. "Identifikace a verifikace osob pomocí záznamu EKG." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442492.

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In the past years, utilization of ECG for verification and identification in biometry is investigated. The topic is investigated in this thesis. Recordings from ECG ID database from PhysioNet and our own ECG recordings recorded using Apple Watch 4 are used for training and testing this method. Many of the existing methods have proven the possibility of using ECG for biometry, however they were using clinical ECG devices. This thesis investigates using recordings from wearable devices, specifically smart watch. 16 features are extracted from ECG recordings and a random forest classifier is used for verification and identification. The features include time intervals between fiducial points, voltage difference between fiducial points and PR intervals variability in a recording. The average performance of verification model of 14 people is TRR 96,19 %, TAR 84,25 %.
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Ferreira, Iuri Emmanuel de Paula. "Delineamentos D-ótimos para os modelos de Michaelis-Menten e de Hill /." Botucatu : [s.n.], 2010. http://hdl.handle.net/11449/87920.

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Orientador: Luzia Aparecida Trinca
Banca: Cláudia Pio Ferreira
Banca: Silvio Sandoval Zocchi
Banca: Miriam Harumi Tsunemi
Banca: Julia Maria Pavan Soler
Resumo: Os resultados de muitos experimentos em áreas da biologia, como a farmacologia, a bioquímica e a agronomia, geralmente são analisados por ajustes de modelos não-lineares através dos quais pretende-se explicar a resposta através dos fatores pré-especificados no experimento. As estimações dos parâmetros ou das funções de interesse podem ser imprecisas se os níveis dos fatores não forem adequadamente escolhidos, impossibilitando ao pesquisador a obtenção da informação desejada sobre o objeto de estudo. A construção de um delineamento ótimo, que maximize a informação sobre algum aspecto de interesse, é crucial para o sucesso da prática experimental. O objetivo deste trabalho foi a obtenção de delineamentos D-ótimos exatos para modelos não-lineares utilizados para estudar cinética enzimática e transporte de minerais no organismo, como o de Michaelis-Menten e o de RiU. Para este fim, duas abordagens foram consideradas, a saber, a de delineamentos localmente ótimos e a pseudo-Bayesiana. Com o auxílio dos algoritmos genético e exchange foi possível obter delineamentos D-ótimos exatos para o modelo de Michaelis-Menten, para o modelo de RiU e para ambos, considerando-se valores diferentes e distribuições com diversos coeficientes de variação como informação a priori
Abstract: The results of many experiments in biological fields, as pharmacology, biochemistry and agriculture, usually are analyzed by fitting nonlinear models, which are supposed to describe well the resp'onse to the pre-specified factors in the experiment. The estimates of the parameters or of their functions of interest could be imprecise if the factor levels are not adequately chosen. The construction of an optimum design, which maximizes the information about some aspect of interest, is crucial for the success of the experimental practice. The aim of this work was constructing exact D-optimal designs for nonlinear models usually used in studies of enzyme kinetics and mineral transport in organisms, such as the Michaelis-Menten and RiU models. Two approaches were considered, the locally optimal and pseudo- Bayesian designs. Genetic and Exchange algorithms were used for getting exact designs aiming at the Michaelis-Menten model, aiming at the RiU model, each one separately, and aiming at both models when considering a composite criterion. Different values and probability distributions with several variation coefficients were considered as prior information
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Martins, Andréa Camila dos Santos. "O método de pontos interiores no planejamento da radioterapia /." Botucatu : [s.n.], 2011. http://hdl.handle.net/11449/95056.

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Orientador: Helenice de Oliveira Florentino Silva
Banca: Andréa Carla Gonçalves Vianna
Banca: Antônio Roberto Balbo
Resumo: Um tratamento do câncer por radioterapia tem como objetivo a eliminação das células do tumor e preservação das células saudáveis, obtendo assim uma melhor homo-geneização da dose administrada e menor possibilidade de complicações clínicas durante o tratamento. O sucesso do tratamento depende de um bom planejamento. Para um planejamento ótimo, técnicas matemáticas estão sendo utilizadas com o objetivo de maximizar a radiação no tumor e minimizar a radiação nas regiões vizinhas, com isto modelos de programação linear têm sido ótimas ferramentas para auxiliar a construção dos planos de tratamento por radioterapia. Assim, este trabalho visa: estudar os principais conceitos envolvidos no planejamento do tratamento do câncer por radioterapia; estudar modelos de programação linear (PL) aplicados ao planejamento ótimo; fazer um amplo estudo sobre a técnica de pontos interiores para PL e apresentar uma aplicação desta técnica para resolução de um problema de planejamento ótimo para o tratamento do câncer por radioterapia
Abstract: A cancer treatment by radiotherapy aims to eliminate tumor cells and preservation of healthy cells, thus getting a better homogenization of the administered dose and fewer chances of complications during treatment. Treatment success depends on good planning. For an optimal planning, mathematical techniques are being used in order to maximize radiation at tumor and minimize radiation in the surrounding regions, thus linear programming models has been great tools to assist the construction of treatment plans for radiation therapy. Thus, this work aims: studying the key concepts involved in planning the treatment of cancer by radiotherapy; study the models the linear program- ming (PL) applied to optimal planning; make a broad study on the technique of interior point for PL and present an enforcement of this technique for solving a problem of optimal planning for cancer treatment by radiotherapy
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Santos, Maurício Bedim dos. "Delineamentos ótimos para experimentos farmacocinéticos /." Botucatu : [s.n.], 2010. http://hdl.handle.net/11449/87911.

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Orientador: Luiza Aparecida Trinca
Banca: José Silvio Govone
Banca: Silvio Sandoval Zocchi
Resumo: Os ensaios na area de farmacologia cl nica envolvem coletas sangu neas e medidas da informação (concentração de um fármaco) em horários pré estabelecidos. A prática atual, na maioria das vezes, estabelece os tempos de coleta arbitrariamente, o que pode resultar em dados pouco informativos para ajustar um modelo. Uma metodologia para resolver este tipo de problema e a construcão de delineamentos otimos. Em geral, os modelos envolvem equações não lineares. Sendo que um modelo popular e o modelo monocompartimental (de primeira ordem de absorção e eliminação) que possui três parâmetros. O problema principal de delineamento para modelos não lineares e que a matriz de variâncias e covariâncias dos estimadores dos parâmetros depende dos valores destes, dificultando o planejamento. Outra dificuldade é que várias coletas são realizadas num mesmo sujeito e portanto as respostas são correlacionadas. Assim, a matriz de variâncias e covariâncias depende também das correlações que podem ser incorporadas considerando-se um modelo não linear com efeitos aleatórios. Esse trabalho visa o estudo da teoria de delineamentos... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Trials in clinical pharmacology involves colleting blood samples and measuring the concentration of a drug at pre-especi ed moments. Current practice, usually xes the point times arbitrarily, which can result in uninformative data to t the aimed model. A methodology for solving such problems is the construction of optimum designs. In general, the models involve nonlinear equations. A popular model is the one-compartment model ( rst-order absorption and elimination). This model has three parameters. The main problem of design for nonlinear models is that the matrix of variances and covariances of the estimators of the parameters depends on the values of these, making the planning more di cult. Another di culty is that several samples are performed in the same subject and therefore the responses are correlated. The matrix of variances and covariances also depends on the correlations. The correlations can be incorporated by considering a nonlinear model with random e ects. This work aims to study the theory of optimal designs and the construction of algorithm to optimize designs under the nonlinear model with xed e ects and random e ects. The methodology can produce local optimum designs at some prior value of the parameters or try to reach global optimum through the incorporation of probability distributions of the parameters which are taken into account when calculating the value of the criterion used such designs are called Bayesians. Based on the results of an experiment from the literature D and Aw local and Bayesian optimum designs were obtained. To compare designs their e ciencies were calculated
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Viana, Rodrigo Sartorelo Salemi. "Programação linear à criação de planejamentos otimizados em radioterapia /." Botucatu : [s.n.], 2010. http://hdl.handle.net/11449/87916.

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Orientador: Helenice de Oliveira Florentino Silva
Banca: Diana Rodrigues de Pina
Banca: Maria do Socorro Nogueira Rangel
Resumo: Um planejamento para radioterapia é considerado ótimo quando todos os parâmetros envolvidos sejam eles físicos ou biológicos, foram investigados e adequados individualmente para cada paciente. Neste tipo de planejamento, a grande preocupação é com a irradiação do tumor com o mínimo dano possível aos tecidos saudáveis da região irradiada, principalmente aos órgãos de riscos. O planejamento ótimo para radioterapia pode ser auxiliado pela Programação Linear e existe uma ampla literatura abordando este assunto, mas, a maioria das formulações matemáticas publicadas não contemplam um cenário do ponto de vista de aplicações práticas, pois não incorporam determinados fatores que são de extrema importância para a construção de um planejamento real, como exemplos a atenuação do feixe de radiação e a beterogeneidade na composição dos tecidos irradiados. Assim, este trabalho apresenta uma metodologia para correção de heterogeneidade na composição dos diferentes tipos de tecidos irradiados baseado nas proporções entre seus diferentes coeficientes de atenuação linear. Esta metodologia tem como objetivo tornar as simulações de planejamentos otimizados mais próximos dos planejamentos reais e desta forma, possibilitar um estudo mais amplo e confiável, faznedo com que modelos de programação linear possam ser utilizados como ferramentas auxiliares na criação de planejamentos reais para radioterapia
Abstract: Planning for radiotherapy is considered optimal when all the parameters involved, physical or biological, have been investigated and are appropriate for each patient. In this type of planning, the major concern is with the irradiation of the tumor with the minimum possible damage to healthly tissues of the irradiated region, especially the organs at risk. The optimal planning for radiation therapy can be aided by Linear Programming and there is a wide literature addressing this subject. However, most published mathematical formulations do not contemplate a scenario in terms of practical applications. They do not incorporate certain factors that are extremely important for building a real planning, as examples there are attenuation of the radiation beam and the heterogeneous composition of the irradiated tissue. This work presents a methodology for correction of heterogeneity in the composition of different types of tissuers irradiated based on the proportions among their different linear attenuation coefficient. This methodology aims to make the simulations of optimized planning closer to the real planning and thus enable a more comprehensive and reliable, allowing the use of linear programming models as aids in the creation of real planning for radiotherapy
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Fornazin, Marcelo. "Análise de desempenho do Criptossistema Fuzzy Vault em aplicações reais /." São José do Rio Preto : [s.n.], 2008. http://hdl.handle.net/11449/98676.

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Orientador: Marcos Antônio Cavenaghi
Banca: Ivan Rizzo Guilherme
Banca: Julio César López Hernández
Resumo: Biometria trata do reconhecimento de indivíduos baseado em características fisiológicas ou comportamentais, sendo que umas de suas aplicações é autenticação biométrica. A autenticação biométrica tem vantagens com relação às senhas, no entanto, as informações biométricas também precisam ser protegidas. Ao contrário das senhas, a biometria apresenta variabilidade no sinal, isto é, raramente duas representações de uma mesma característica biometria são idênticas, sendo que, os criptossistemas tradicionais não suportam essa propriedade. Para contornar esse problema, criptossistemas biométricos unem biometria e criptografia para encriptar informações biométricas e protegê-las. Fuzzy Vault é uma construção criptográfica que pode ser utilizada na encriptação de características biométricas e atualmente, há propostas de implementação do Fuzzy Vault para impressões digitais, íris, face e assinaturas. O presente estudo implementa o Fuzzy Vault para impressões digitais e analisa seu desempenho em um ambiente de aplicação real e em um cenário de proteção de imagens médicas usando biometria. A proposta de implementação do Fuzzy Vault encripta e desencripta o Fuzzy Vault para impressões digitais realizando o alinhamento da impressão digital. A proteção de imagens médicas encripta imagens médicas com um criptossistema tradicional e encripta a chave criptográfica com a implementação do Fuzzy Vault. Os experimentos apresentaram entre 92% e 97,96% de GAR e 0% de FAR, esses resultados ocorreram em função dos mecanismos de alinhamento e identificação de pontos candidatos implementados neste estudo. O tempo de encriptação é constante em 0,8 s. Já o tempo de desencriptação apresenta grande variabilidade, e depende da quantidade de pontos candidatos, com mediana variando entre 16 ms e 1 s nas desencriptações com sucesso... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: Biometrics deals with people recognition based physiological or behavioral features where one of its application it biometric authentication. Biometric authentication has some advantages over passwords, but biometric information also need to be protected. Instead of passwords, biometrics has signal variability, i.e., two representation of the same biometric feature rarely are identical, and traditional cryptosystems does not support this feature. To overcome this issue biometric cryptosystems join biometrics and cryptography to encode biometric information and protected them. Fuzzy Vault is a cryptographic construction which can be used to encode biometric features. Today, there are some implementation proposals of Fuzzy Vault for fingerprints, iris, face and handwrite signature. This study implements Fuzzy Vault for fingerprints and analyses its performance in a real application environment and a scenario of medical image protection using biometrics. The proposed Fuzzy Vault implementation encodes and decodes Fuzzy Vault for fingerprints and performs fingerprint alignment. Medical image protecting encodes medical images with a traditional cryptosystems and encode its cryptographic key using the Fuzzy Vault implementation. Performance evaluation achieved between 92% and 97,96% of GAR and 0% of FAR, this results has been achieved with aligning and candidates points identification mechanisms implemented. Encoding time is constant in 0,8 s, but decoding time has a big variance which depends on number of candidates points, median varies between 16 ms and 1 s considering successful decodes. In the medical image protection scenario, the proposed system has a low overhead and better performance compared to a asymmetric cryptosystem, encoding time is 17 times better and decoding time is 245 times better.
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Kodaira, Juliana Yukari. "Uma abordagem probabilística do número de reprodução básica em modelos epidemiológicos com aplicação na ferrugem do eucalipto /." Botucatu, 2011. http://hdl.handle.net/11449/87914.

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Orientador: José Raimundo de Souza Passos
Banca: Edson Luiz Furtado
Banca: Laécio Carvalho de Barros
Resumo: Na epidemiologia matemática, uma importante medida derivada do modelo determinístico associado à dinâmica de transmissão de uma doença infecciosa é o número esperado de infecções secundárias produzidas por um caso indexado em uma população completamente suscetível, conhecido como número de reprodução básica R0. Utilizando simulações de Monte Carlo, estudamos o efeito da incerteza sobre R0 em modelos compartimentos de transmissão de doenças, associando variáveis aleatórias uniformemente distribuídas a cada parâmetro constituinte de R0. Esta pertubação sobre os parâmetros corresponde à imprecisão intrínseca de seus valores na natureza. Neste trabalho também consideramos diferentes intervalos para as taxas de transmissão de doença com o intuito de avaliar seus efeitos dinâmicos. Aplicamos este método à modelagem da ferrugem do eucalipto, que é uma doença muito comum e severa em plantações de Eucalyptus spp. e outras mirtáceas, transmitida pelo fungo Puccinia psidii Winter. Hoje o eucalipto possui importância significativa tanto no mercado nacional quanto internacional e, portanto, iniciativas que auxiliem seu manejo integrado de doenças são imprescindíveis. Nossos resultados mostram que o método utilizado é eficiente, pois representa a influência das taxas de transmissão de doença no padrão da distribuição de probabilidade aproximada de R0, permitindo a obtenção das funções empíricas percentílicas complementares para os modelos considerados
Abstract: In mathematical epidemiology, an important measure derived from the deterministic model associated with the transmission dynamics of an infectious disease is the expected number of secondary infections produced by an indexed case in a completely susceptible population, known as the basic reproduction number R0. Using Monte Carlo simulations, we studied the effect of the uncertainty on R0 in compartmental disease transmission models, associating random variables uniformly distributed to each constituent parameter of R0. This perturbation on the parameters correspond to the intrinsic imprecision of their values in nature. In this work we also consider different ranges for the disease transmission rates in order to evaluate their dynamical effects. We apply this method to the eucalyptus rust, which is a very common and severe disease in plantations of Eucalyptus spp. and others Myrtaceae, transmitted by the fungus Puccinia psidii Winter. Today, eucalyptus has significant importance in both national and international market. Therefore, initiatives to help its integrated disease management are essential. Our results show that the method is efficient, since it represents the influence of the disease transmission rates in the approximated probability distribution pattern of R0, allowing us to obtain the empirical percentile complementary functions for the considered models
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Neves, Camila de Castro. "Morfologia e biometria das glândulas vesiculares e bulbouretrais de ovinos castrados e não castrados da raça Santa Inês /." Jaboticabal : [s.n.], 2010. http://hdl.handle.net/11449/101121.

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Orientadora: Silvana Martinez Baraldi Artoni
Banca: Carlos Alberto Vicentini
Banca: Marcos Lania de Araújo
Banca: Maria Rita Pacheco
Banca: Vanessa Sobue Franzo
Resumo: Neste trabalho foram utilizados 14 ovinos machos adultos, seis castrados e oito não castrados da raça Santa Inês com o peso médio de 32 kg. Foi realizado estudo macroscópico (topográfico e biométrico) e microscópico (histológico) das glândulas vesiculares e bulbouretrais com o objetivo de averiguar o comportamento dessas glândulas nos animais castrados e não castrados. Para o estudo macroscópico realizou-se a descrição destas duas glândulas, e avaliou-se a biometria após a dissecação e mensuração do peso, comprimento, altura e a largura das respectivas glândulas. Para a histologia foram obtidos fragmentos das respectivas glândulas os quais foram recortados, obteu-se cortes histológicos de cinco micrômetros sendo diafanizados em benzol e processados para inclusão do material em paraplast e corados com Hematoxilina-eosina e fotodocumentados em fotomicroscópio Olympus BX 50. Morfologicamente pode-se documentar que toda a sua topografia apresentou semelhança à espécie bovina, e na biometria evidenciouse medidas macroscópicas menores (p<0,05) das glândulas de ovinos castrados em relação aos não castrados, exceto para o peso vivo dos animais e peso relativo das glândulas vesiculares (p>0,05). Histologicamente verificou-se que a glândula vesicular é um tubo enrolado sobre si mesmo seccionado em diferentes posições. Separando-o há uma delgada camada de tecido conjuntivo frouxo. A mucosa é pregueada e o epitélio é prismático simples com células altas ricas. A lâmina própria possui fibras elásticas e está envolta por uma camada muscular lisa, constituída por duas lâminas: uma interna, de fibras circulares e outra externa, de fibras longitudinais. A camada adventícia é constituída por tecido conjuntivo frouxo. Os ductos excretores principais estão revestidos por epitélio prismático biestratificado... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: In this project, 14 adult male sheep were used. six of them were castrated and eight non-castrated, and they were all Santa Ines breed, weighing 32kg in average. A macroscopic (topographic and biometric) and microscopic (histologic) study of the vesicular and bulbourethral glands was carried out with the aim of investigating the behavior of these glands in the castrated and non-castrated animals. For the macroscopic study, the description of these two glands was carried out, and the biometry after the dissecation, and weight, length, height and width measurement of the respective glands was evaluated. For the histology, fragments of these glands were obtained and cut. The obtained histological cuts of five micrometers were diaphanized in benzol and processed for the inclusion of the material in paraplast and stained with Hematoxylin and eosin and photo documented in photomicroscope Olympus BX 50. Morphologically, all its topography can be documented presenting similarity to the bovine species, and in the biometry it has evidenced smaller macroscopic measurements (p<0,05) comparing the glands of the castrated ovines and the non-castrated ones, except for the live weight of the animals and relative weight of the vesicular glands (p>0,05). Histologically, it has been verified that the vesicular gland is a tube coiled round itself sectioned at different positions. There is a thin layer of loose connective tissue separating it. The mucosa is wrinkled and the simple prismatic epithelium is composed of high cells that are rich. The blade itself has elastic fibers and is wrapped by a layer of smooth muscle, composed by two blades: an internal one, composed of circular fibers and an external one, composed of longitudinal fibers. The tunica adventitia is composed by loose connective tissue. The main excretory ducts are covered by bistratified prismatic epithelium... (Complete abstract click electronic access below)
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Tasso, Júnior Luiz Carlos. "Caracterização agrotecnológica de cultivares de cana-de-açúcar (Saccharum spp.) na região centro-norte do estado de São Paulo /." Jaboticabal : [s.n.], 2007. http://hdl.handle.net/11449/105231.

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Orientador: Marcos Omir Marques
Banca: Carlos Alberto Mathias Azania
Banca: Marcos Guimarães de Andrade Landell
Banca: Miguel Angelo Mutton
Banca: Ailto Antonio Casagrande
Resumo: Estudos de comparação entre cultivares de cana-de-açúcar são importantes especialmente em novas regiões produtoras. O presente trabalho foi conduzido em duas propriedades agrícolas da região centro norte do Estado de São Paulo. Foram cultivadas 20 variedades de cana-de-açúcar. O delineamento experimental foi em blocos ao acaso com 20 tratamentos e 4 repetições. As variedades estudadas foram: IAC91-2195, SP89-1115, RB855453, RB855156, RB835486 (precoces); SP87-365, SP81-3250, SP80-1842, SP80-1816, SP79-1011, RB92-8064, IAC91-5155, IAC87-3396, SP90-3414, SP90-1638 (médias), IACSP93-6006, IAC91- 3186, SP83-2847, RB867515 e RB72454 (tardias). Foram avaliadas variáveis fenotípicas, biométricas, produtividade, tecnológicas além do acúmulo de macro e micronutrientes em colmo e palhada. Concluiu-se que as variedades que apresentaram as melhores performances foram: RB855453, RB835456, RB928064, RB867515 e a IAC91-3186. O acúmulo de nutrientes (colmos, folhas verdes e ponteiros), foi influenciado pelas variedades e pelas condições edafoclimáticas.
Abstract: Studies about sugarcane cultivars comparison are very important in news sugarcane regions producers. This research was conducted out with the objective to study 20 sugarcane cultivars cropped in two agricultural areas at São Paulo State center-north region. The experimental design was a randomized blocks with 20 treatments and 4 replications. The following cultivars were studied: IAC91-2195, SP89- 1115, RB855453, RB855156, RB835486 (early maturation period); SP87-365, SP81- 3250, SP80-1842, SP80-1816, SP79-1011, RB92-8064, IAC91-5155, IAC87-3396, SP90-3414, SP90-1638 (middle maturation period), IACSP93-6006, IAC91-3186, SP83- 2847, RB867515 e RB72454 (late maturation period). It was concluded that the best behaviors were shown by RB855453, RB835456, RB928064, RB867515 and IAC91- 3186. Stalk, green leaf, dry leaf, heart nutrients accumulation and nutrients exportation changed according the sugarcane cultivars, edaphology and climatologic conditions.
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Farina, André Marcelo. "Biomobile : sistema de identificação de usuários em dispositivos móveis na plataforma Android utilizando reconhecimento de faces a partir de vídeo /." São José do Rio Preto : [s.n.], 2012. http://hdl.handle.net/11449/89344.

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Orientador: Aparecido Nilceu Marana
Banca: João Eduardo Machado Perea
Banca: Fátima de Lourdes dos Santos Nunes Marques
Resumo: Na era da informação em que vivemos a demanda por conectividade e acesso a dados é crescente. Neste cenário os dispositivos móveis estão se tornando cada vez mais populares. Com o aumento da demanda por este tipo de dispositivo aumenta também o volume de informações neles armazenadas. Com isso, os dispositivos móveis estão se tornando uma importante fonte de informação que precisam de mecanismos adequados de proteção. O objetivo desta dissertação de mestrado foi promover um estudo sobre a viabilidade da utilização de Biometria para a proteção de informações dos usuários em dispositivos móveis, em particular nos smartphones, via reconhecimento de faces. A opção pelo reconhecimento facial deveu-se ao fato dos smartphones proverem naturalmente recursos de hardware para a aquisição de vídeos. Para a realização do estudo proposto, foi desenvolvido um sistema de reconhecimento facial na plataforma Android, denominado BioMobile, cuja arquitetura foi projetada para permitir a execução integralmente no domínio dos dispositivos móveis. Para a detecção das faces, foi adotado o algoritmo Viola-Jones, enquanto que para o reconhecimento foram usados os descritores PCA e LBP. O BioMobile foi desenvolvido para operar nos modos de autenticação e de reconhecimento. Além disso, ele trabalha com vídeos, o que possibilita a adoção da técnica de maioria de votos, tornando-o mais tolerante a falhas e mais preciso. Os resultados experimentais mostraram que, ao contrário do algoritmo baseado em LBP, o algoritmo baseado em PCA se torna inviável quando usado em dispositivos com restrições de memória e de processamento. Os resultados obtidos também indicam que o modo de operação de reconhecimento quando aplicado totalmente no domínio dos dispositivos móveis não é conveniente em termos... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: In the information age in which we live the demand for connectivity and data access is growing. In this scenario the mobile devices are becoming increasingly popular, especially the smart phones. The increasing demand for this type of device leads to high personal and professional information storage. Therefore, mobile devices are becoming important sources of information that need proper protection mechanisms. The purpose of this master dissertation was to carry out a study on the feasibility of using biometrics as a means of safe, efficient and appropriate information protection on mobile devices, especially in smart phones, via user identification through face recognition. The choice for facial recognition was due to the fact that the smart phones provide embedded video cameras. In order to conduct the proposed study, it was developed a face recognition system on the Android platform, called BioMobile, whose architecture was designed to allow its full execution without the need of external servers. For face detection it was adopted the Viola-Jones algorithm, while for face recognition it were assessed the PCA and LBP descriptors. BioMobile was also designed to operate in authentication and recognition modes. Besides, it works with videos instead of still images that allow the adoption of the technique of majority voting becoming it more fault-tolerant and precise. The experimental results showed that the PCA algorithm is not feasible when used in devices with memory and processing power limitations. LBP, in contrast, showed to be appropriated. The results also indicated that the recognition operation mode fully executed in the mobile devices is not so convenient due to the processing time required. On the other hand, the authentication operation mode showed good performance regarding this issue. The system also showed few error rates (around 2%) depending on the adopted configuration
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Books on the topic "EKG biometrie"

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Lee, Jimmy Kim-Mil. ECG feature extraction without fiducial detection: Applications to ECG biometric recognition. 2006.

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Book chapters on the topic "EKG biometrie"

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Campisi, Patrizio, and Daria La Rocca. "EEG Biometrics." In Encyclopedia of Biometrics, 389–96. Boston, MA: Springer US, 2015. http://dx.doi.org/10.1007/978-1-4899-7488-4_9145.

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Campisi, Patrizio, and Daria La Rocca. "EEG Biometrics." In Encyclopedia of Biometrics, 1–11. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27733-7_9145-2.

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Pinto, João Ribeiro, and Jaime S. Cardoso. "ECG Biometrics." In Encyclopedia of Cryptography, Security and Privacy, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-27739-9_1517-1.

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Campisi, Patrizio, and Emanuele Maiorana. "EEG Biometrics." In Encyclopedia of Cryptography, Security and Privacy, 1–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-642-27739-9_1485-1.

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Pal, Anita, and Yogendra Narain Singh. "ECG Biometric Recognition." In Communications in Computer and Information Science, 61–73. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0023-3_7.

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Barra, Silvio, Andrea Casanova, Matteo Fraschini, and Michele Nappi. "EEG/ECG Signal Fusion Aimed at Biometric Recognition." In New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops, 35–42. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23222-5_5.

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Biagetti, Giorgio, Paolo Crippa, Simone Orcioni, and Claudio Turchetti. "An Analog Front-End for Combined EMG/ECG Wireless Sensors." In Mobile Networks for Biometric Data Analysis, 215–24. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39700-9_17.

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Gondesen, Florian, Matthias Marx, and Dieter Gollmann. "EEG-Based Biometrics." In Biometric-Based Physical and Cybersecurity Systems, 287–318. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98734-7_11.

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Zheng, Gang, Shengzhen Ji, Min Dai, and Ying Sun. "ECG Based Identification by Deep Learning." In Biometric Recognition, 503–10. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_54.

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Zheng, Gang, Xiaoxia Sun, Shengzhen Ji, Min Dai, and Ying Sun. "ECG Based Biometric by Superposition Matrix in Unrestricted Status." In Biometric Recognition, 553–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_59.

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Conference papers on the topic "EKG biometrie"

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Plataniotis, Konstantinos N., Dimitrios Hatzinakos, and Jimmy K. M. Lee. "ECG Biometric Recognition Without Fiducial Detection." In 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference. IEEE, 2006. http://dx.doi.org/10.1109/bcc.2006.4341628.

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Bashar, Khayrul. "ECG and EEG Based Multimodal Biometrics for Human Identification." In 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2018. http://dx.doi.org/10.1109/smc.2018.00734.

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Farago, Paul, Robert Groza, Liliana Ivanciu, and Sorin Hintea. "A Correlation-based Biometric Identification Technique for ECG, PPG and EMG." In 2019 42nd International Conference on Telecommunications and Signal Processing (TSP). IEEE, 2019. http://dx.doi.org/10.1109/tsp.2019.8768810.

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Wang, Yongjin, Konstantinos N. Plataniotis, and Dimitrios Hatzinakos. "Integrating Analytic and Appearance Attributes for Human Identification from ECG Signals." In 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference. IEEE, 2006. http://dx.doi.org/10.1109/bcc.2006.4341627.

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Bashar, Md Khayrul, Yuji Ohta, and Hiroaki Yoshida. "ECG-based biometric authentication using mulscale descriptors: ECG-based biometric authentication." In 2015 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2015. http://dx.doi.org/10.1109/iciibms.2015.7439465.

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Cisotto, Giulia, Anna V. Guglielmi, Leonardo Badia, and Andrea Zanella. "Joint Compression of EEG and EMG Signals for Wireless Biometrics." In GLOBECOM 2018 - 2018 IEEE Global Communications Conference. IEEE, 2018. http://dx.doi.org/10.1109/glocom.2018.8647543.

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Rosli, Fatin Atiqah, Saidatul Ardeenawatie Awang, Azian Azamimi Abdullah, and Mohammad Shahril Salim. "Biometric authentication system using EEG biometric trait – A review." In PROCEEDINGS OF GREEN DESIGN AND MANUFACTURE 2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0044538.

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Rosli, Fatin Atiqah, Saidatul Ardeena, Azian Azamimi Abdullah, and Mohammad Shahril Salim. "Biometric authentication system using EEG biometric trait – A review." In PROCEEDINGS OF GREEN DESIGN AND MANUFACTURE 2020. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0044955.

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Sanchez-Casanova, Jorge, Antonio Miranda-Escalada, Raul Sanchez-Reillo, and Pablo Bartolome-Molina. "ECG biosignals in biometric recognition." In 2017 International Carnahan Conference on Security Technology (ICCST). IEEE, 2017. http://dx.doi.org/10.1109/ccst.2017.8167817.

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Carvalho, João, Susana Brás, and Armando Pinho. "Entropy-Based ECG Biometric Identification." In Entropy 2021: The Scientific Tool of the 21st Century. Basel, Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/entropy2021-09795.

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