Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 6.322
Filtrar
1.
Stud Health Technol Inform ; 294: 119-120, 2022 May 25.
Artigo em Inglês | MEDLINE | ID: mdl-35612029

RESUMO

Many clinical decision support systems (CDSS) have shown good performance in the research context, but only a few have been brought into routine care. Analysis of success or failure factors in the design of CDSS may support translation from development to routine care by guiding CDSS design and development along these factors. In this work, we propose a schema to describe CDSS designs in a consistent way. We focus on design criteria with the aim to investigate the observed translation gap in CDSS. Existing description models on different aspects relevant for CDSS are combined to a comprehensive schema that allows description and comparison of CDSS without limitation to the domain or architecture.


Assuntos
Sistemas de Apoio a Decisões Clínicas , Design de Software , Humanos
5.
J Diabetes Res ; 2022: 5779276, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35308093

RESUMO

Aims: To investigate the applicability of deep learning image assessment software VeriSee DR to different color fundus cameras for the screening of diabetic retinopathy (DR). Methods: Color fundus images of diabetes patients taken with three different nonmydriatic fundus cameras, including 477 Topcon TRC-NW400, 459 Topcon TRC-NW8 series, and 471 Kowa nonmyd 8 series that were judged as "gradable" by one ophthalmologist were enrolled for validation. VeriSee DR was then used for the diagnosis of referable DR according to the International Clinical Diabetic Retinopathy Disease Severity Scale. Gradability, sensitivity, and specificity were calculated for each camera model. Results: All images (100%) from the three camera models were gradable for VeriSee DR. The sensitivity for diagnosing referable DR in the TRC-NW400, TRC-NW8, and non-myd 8 series was 89.3%, 94.6%, and 95.7%, respectively, while the specificity was 94.2%, 90.4%, and 89.3%, respectively. Neither the sensitivity nor the specificity differed significantly between these camera models and the original camera model used for VeriSee DR development (p = 0.40, p = 0.065, respectively). Conclusions: VeriSee DR was applicable to a variety of color fundus cameras with 100% agreement with ophthalmologists in terms of gradability and good sensitivity and specificity for the diagnosis of referable DR.


Assuntos
Inteligência Artificial/normas , Retinopatia Diabética/diagnóstico , Oftalmoscópios/normas , Design de Software , Adulto , Inteligência Artificial/estatística & dados numéricos , Distribuição de Qui-Quadrado , Diabetes Mellitus/diagnóstico por imagem , Retinopatia Diabética/diagnóstico por imagem , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Oftalmoscópios/estatística & dados numéricos , Reprodutibilidade dos Testes
6.
PLoS Comput Biol ; 18(2): e1009809, 2022 02.
Artigo em Inglês | MEDLINE | ID: mdl-35202401
7.
Environ Monit Assess ; 194(3): 215, 2022 Feb 23.
Artigo em Inglês | MEDLINE | ID: mdl-35199233

RESUMO

Since the 1960s, rapid urbanization has caused serious deterioration in the quantity and quality of instream flows in South Korea. As demands for healthy instream ecology, landscape, and water-friendly environments have increased, the government has revised the relevant legal codes. In 2017, the environmental flow, defined as the minimum flow to conserve the health of aquatic ecosystems, has been endorsed in the Water Environment Conservation Act. However, owing to the lack of established criteria for the selection of target sites, the implementation of environmental flow is still in its early stage. This study suggests a simple flowchart to identify the preferential target sites for environmental flow estimation. First, deterioration in the health of aquatic ecosystems is identified by comparing the monitored Fish Assessment Index (FAI) with the standard suggested by the Ministry of Environment. Thereafter, the conditions of discharge and water quality of the instream flows are assessed. In the discharge analysis, linear regression is used for three flow metrics to analyze the interannual variability of discharge. Discharge deficiency is evaluated by comparing the drought flow (Q355) and the 10% mean annual flow. The load duration curve (LDC) is used in the water quality analysis. A case study is conducted for the Bokha-cheon Stream to test the flowchart, followed by a nationwide application. From the results, more than 70 sites have been identified as target sites for the estimation of the environmental flow in the five major river basins of Korea.


Assuntos
Ecossistema , Monitoramento Ambiental , Animais , Monitoramento Ambiental/métodos , Rios , Design de Software , Qualidade da Água
8.
Rev Col Bras Cir ; 48: e20213012, 2022.
Artigo em Inglês, Português | MEDLINE | ID: mdl-35019073

RESUMO

INTRODUCTION: the new coronavirus pandemic has been a reality throughout 2020, and it has brought great challenges. The virus predominantly manifests in the pediatric population with mild symptoms. However, an increase in the incidence of Multisystemic Inflammatory Syndrome in Children (MIS-C) associated with COVID-19 has been described in the literature. MIS-C manifests mainly with fever and gastrointestinal symptoms and may mimic acute abdomen due to acute appendicitis. The objective of this study is to propose a care flowchart for suspected cases of acute appendicitis in the initial phase in pandemic times, considering the possibility of MIS-C. This situation was brought up by a patient treated in a pediatric hospital in Brazil. DISCUSSION: It was possible to identify common signs and symptoms in the reported patient and those published cases that may serve as alerts for early identification of MIS-C cases. Based on the literature review and on the similarities between the syndrome and the inflammatory acute abdomen in children, we elaborated an initial approach for these cases to facilitate the identification, early diagnosis, and management. The flowchart considers details of the clinical history, physical examination, and complementary exams prior to the indication of appendectomy in patients with initial phase symptoms. CONCLUSION: MIS-C, although rare and of poorly known pathophysiology, is most often severe and has a high mortality risk. The use of the proposed flowchart can help in the diagnosis and early treatment of MIS-C.


Assuntos
Apendicite , COVID-19 , Apendicite/diagnóstico , COVID-19/complicações , Criança , Humanos , Pandemias , SARS-CoV-2 , Design de Software , Síndrome de Resposta Inflamatória Sistêmica
10.
Neurology ; 98(11): 452-459, 2022 03 15.
Artigo em Inglês | MEDLINE | ID: mdl-35058337

RESUMO

The American Academy of Neurology and the European Academy of Neurology have recognized, for the first time, the value of advanced neuroimaging and electrophysiology techniques (AIEs) in the context of diagnosing patients with a disorder of consciousness (DOC). This recognition is part of an important agenda of promoting evidence-based competency in the management of patients with DOC. Nonetheless, considering that these techniques (and the required knowledge) are seldom available outside of advanced medical centers, it is important to provide physicians with a framework for balancing risks and benefits and deciding, on a single patient basis, whether AIEs are suitable. This issue is all the more urgent considering that family members are increasingly aware of the use of AIEs in patients with DOC, pressure for these assessments is likely to increase in the context of ethical and clinical imperatives to meet standards of care, and pathways for reimbursement for such assessments in DOC are yet to be established. The new guidelines, however, provide no guiding principle for physicians to decide when such assessments are appropriate, a limitation that impedes their wide adoption. We address this important gap by proposing an easy to use algorithmic flowchart that is based on the new guidelines and can be used to determine the appropriateness of AIEs for any given patient with DOC and ensure that evidence-based best practices are being followed. We also provide a brief context for understanding the main categories of AIEs available to clinicians, their advantages, and their limitations.


Assuntos
Estado de Consciência , Imageamento por Ressonância Magnética , Transtornos da Consciência/diagnóstico por imagem , Eletrofisiologia , Humanos , Design de Software
11.
J Dermatol ; 49(1): 4-18, 2022 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-34806223

RESUMO

Trichoscopy represents a non-invasive diagnostic modality widely used in daily practice. Despite the common perception that this technique has been fairly established, some key issues remain to be addressed. Complexity and inconsistency in terminology in past literature are likely to confuse investigators when they are recording, reporting, and retrieving the findings. In addition, a diagnostic algorithm adopting sufficiently integrated and updated findings is not readily available. By adopting a systematic review approach, this review attempted to redefine major trichoscopic findings and integrate their synonyms individually into the most frequently used terms besides identifying and discussing terms which potentially cause confusion. The findings are categorized into five subgroups: hair shaft, follicular, perifollicular, scalp findings, and hair distribution pattern abnormalities. The calculation of sensitivities and positive predictive values of such redefined findings was conducted by reviewing the descriptions in the past literature on major hair diseases, including alopecia areata, androgenetic alopecia/female pattern hair loss, telogen effluvium, trichotillomania, lichen planopilaris, frontal fibrosing alopecia, central centrifugal cicatricial alopecia, discoid lupus erythematosus, folliculitis decalvans, tinea capitis, and dissecting cellulitis, to confirm the diagnostically meaningful findings for representative diseases. This attempt redefined, for instance, yellow dots, short vellus hairs, exclamation mark hairs, black dots, and broken hairs as the findings of diagnostic significance for alopecia areata and hair diameter diversity, peripilar sign, and focal atrichia for androgenetic alopecia/female pattern hair loss. An updated diagnostic flowchart is proposed with the instructions to maximize its usefulness. Current limitations and future perspectives of trichoscopy as well as other emerging non-invasive diagnostic modalities for hair diseases are also discussed.


Assuntos
Alopecia em Áreas , Doenças do Cabelo , Alopecia/diagnóstico , Dermoscopia , Feminino , Cabelo , Doenças do Cabelo/diagnóstico por imagem , Humanos , Design de Software
12.
J Clin Pharmacol ; 62(2): 158-170, 2022 02.
Artigo em Inglês | MEDLINE | ID: mdl-34713491

RESUMO

Population pharmacokinetics consists of analyzing pharmacokinetic (PK) data collected in groups of individuals. Population PK is widely used to guide drug development and to inform dose adjustment via therapeutic drug monitoring and model-informed precision dosing. There are 2 main types of population PK methods: parametric (P) and nonparametric (NP). The characteristics of P and NP population methods have been previously reviewed. The aim of this article is to answer some frequently asked questions that are often raised by scholars, clinicians, and researchers about P and NP population PK methods. The strengths and limitations of both approaches are explained, and the characteristics of the main software programs are presented. We also review the results of studies that compared the results of both approaches in the analysis of real data. This opinion article may be informative for potential users of population methods in PK and guide them in the selection and use of those tools. It also provides insights on future research in this area.


Assuntos
Modelos Biológicos , Modelos Estatísticos , Farmacocinética , Design de Software , Fatores Etários , Algoritmos , Área Sob a Curva , Humanos , Taxa de Depuração Metabólica , Fatores Sexuais
13.
Int Orthod ; 20(1): 100598, 2022 03.
Artigo em Inglês | MEDLINE | ID: mdl-34863642

RESUMO

INTRODUCTION: The treatment of ortho-perio patients is a challenge for the interdisciplinary team. Not only are adult patients with overt perio pathology involved, but any ortho patient, even young ones, can be a perio patient and vice versa. Diagnosis and risk assessment of every ortho-perio patient is essential to establish a correct treatment plan, schedule and prognosis. Orthodontics becomes a "Perio-Guided" Orthodontic Treatment and Periodontics a "Ortho-Guided Periodontal Treatment". MATERIAL AND METHODS: This case report presents a man with a very compromised dentition asking for a complete interdisciplinary rehabilitation treated with a combined ortho-perio treatment in lingual mechanics. The periodontal evaluation confirmed the possibility of performing orthodontic treatment after active periodontal treatment. Treatment objectives were the resolution of the crowding, the correction of the levels of the gingival margin, the bone levelling, the preparation for restorative spaces; the objectives of the latter prior to implant placement were: redistribution of space, optimization of the position of adjacent teeth and their parallelism, exploitation of edentulous sites to correct dental class II and placement of the least number of implants possible. After integrating the conventional perio risk assessment with a new Ortho-Perio Risk Assessment (OPRA), a lingual fixed appliance was applied with the help of miniscrews to correct class II division 2 by substituting the upper right first premolar into a canine and retracting the entire upper arch, while correcting the deep bite and optimising the occlusion. RESULTS: At the end of the treatment, the patient had molar relationships of class II on the right and class I on the left with a class I canine and the 14 in the position of 13. Incisal relationships were corrected, the position of the incisors was optimized, the spaces in the upper arch were fully resolved by orthodontics. During the treatment, orthodontics corrected the uneven gingival margin of the anterior teeth and levelled the bone. CONCLUSIONS: Correct ortho-perio risk assessment (OPRA) is necessary to plan the risk of expression of the periodontal phenotype in ortho-patient. OPRA and the lingual mechanics allowed an orthodontic resolution of the malocclusion and an enhancement of the perio-implant-restorative contributions. OPRA followed by periodontal therapy and lingual mechanics resolved the malocclusion by improving the restorative peri-implant conditions. Orthodontists and periodontists should be aware of the characteristics of the individual expression of the periodontal phenotype at the beginning of treatment and involve patients in the outcome, sequencing of combined treatments, ortho-perio retention and stability.


Assuntos
Má Oclusão Classe II de Angle , Má Oclusão , Procedimentos de Ancoragem Ortodôntica , Ortodontia , Humanos , Má Oclusão/terapia , Má Oclusão Classe II de Angle/diagnóstico por imagem , Má Oclusão Classe II de Angle/terapia , Medição de Risco , Design de Software , Técnicas de Movimentação Dentária
14.
J Clin Pharmacol ; 62(2): 125-141, 2022 02.
Artigo em Inglês | MEDLINE | ID: mdl-33103774

RESUMO

Population pharmacokinetic (popPK) approaches have spread widely throughout clinical pharmacology research, and every clinician should have some understanding of them. After a general introduction on the fundamentals and fields of application of these approaches, this review focuses on parametric popPK methods to provide the clinicians with the conceptual tools to interpret appropriately the results of parametric popPK analyses and to understand their clinical utility. The emphasis is put on the clinical questions that popPK methods are best suited to address. The basic principles of the methodology are introduced first, and then the main algorithms and reference software programs used in such analyses are presented. The description of data analysis and clinical applications of the parametric popPK approach (ie, use in simulations and therapeutic drug monitoring) are illustrated with the example of the antiretroviral drug efavirenz.


Assuntos
Algoritmos , Modelos Biológicos , Modelos Estatísticos , Farmacocinética , Design de Software , Fatores Etários , Alcinos/farmacocinética , Área Sob a Curva , Benzoxazinas/farmacocinética , Ciclopropanos/farmacocinética , Humanos , Taxa de Depuração Metabólica , Fatores Sexuais
15.
J Clin Pharmacol ; 62(2): 142-157, 2022 02.
Artigo em Inglês | MEDLINE | ID: mdl-33103785

RESUMO

Population pharmacokinetic (PK) modeling is a widely used approach to analyze PK data obtained from groups of individuals, in both industry and academic research. The approach can also be used to analyze pharmacodynamic (PD) data and pooled PK/PD data. There are 2 main families of population PK methods: parametric and nonparametric. The objectives of this article are to present an overview of nonparametric methods used in population pharmacokinetic modeling and to explain their specific characteristics to inform scientists and clinicians about their potential value for data analysis, simulation, dosage design, and therapeutic drug monitoring (TDM). Nonparametric methods have several interesting characteristics for population PK analysis, including computation of exact likelihoods, the ability to accommodate parameter probability distributions of any shape (eg, non-Gaussian), and to detect subpopulations and outliers. Nonparametric population methods are also highly relevant for model-based TDM and design of individualized drug dosage regimens. Several algorithms have been developed to estimate model parameter values within an individual and compute that individual's dosage to achieve target drug exposure with maximum precision and accuracy. Nonparametric modeling methods for both population and individual PK analysis are available under user-friendly packages.


Assuntos
Algoritmos , Modelos Biológicos , Modelos Estatísticos , Farmacocinética , Design de Software , Fatores Etários , Alcinos/farmacocinética , Área Sob a Curva , Benzoxazinas/farmacocinética , Ciclopropanos/farmacocinética , Humanos , Taxa de Depuração Metabólica , Fatores Sexuais
16.
Am J Epidemiol ; 191(1): 147-158, 2022 01 01.
Artigo em Inglês | MEDLINE | ID: mdl-33889934

RESUMO

Consortium-based research is crucial for producing reliable, high-quality findings, but existing tools for consortium studies have important drawbacks with respect to data protection, ease of deployment, and analytical rigor. To address these concerns, we developed COnsortium of METabolomics Studies (COMETS) Analytics to support and streamline consortium-based analyses of metabolomics and other -omics data. The application requires no specialized expertise and can be run locally to guarantee data protection or through a Web-based server for convenience and speed. Unlike other Web-based tools, COMETS Analytics enables standardized analyses to be run across all cohorts, using an algorithmic, reproducible approach to diagnose, document, and fix model issues. This eliminates the time-consuming and potentially error-prone step of manually customizing models by cohort, helping to accelerate consortium-based projects and enhancing analytical reproducibility. We demonstrated that the application scales well by performing 2 data analyses in 45 cohort studies that together comprised measurements of 4,647 metabolites in up to 134,742 participants. COMETS Analytics performed well in this test, as judged by the minimal errors that analysts had in preparing data inputs and the successful execution of all models attempted. As metabolomics gathers momentum among biomedical and epidemiologic researchers, COMETS Analytics may be a useful tool for facilitating large-scale consortium-based research.


Assuntos
Academias e Institutos/organização & administração , Análise de Dados , Estudos Epidemiológicos , Metabolômica/métodos , Algoritmos , Humanos , Internet , Design de Software
17.
Int J Mol Sci ; 22(23)2021 Nov 27.
Artigo em Inglês | MEDLINE | ID: mdl-34884640

RESUMO

The field of protein structure prediction has recently been revolutionized through the introduction of deep learning. The current state-of-the-art tool AlphaFold2 can predict highly accurate structures; however, it has a prohibitively long inference time for applications that require the folding of hundreds of sequences. The prediction of protein structure annotations, such as amino acid distances, can be achieved at a higher speed with existing tools, such as the ProSPr network. Here, we report on important updates to the ProSPr network, its performance in the recent Critical Assessment of Techniques for Protein Structure Prediction (CASP14) competition, and an evaluation of its accuracy dependency on sequence length and multiple sequence alignment depth. We also provide a detailed description of the architecture and the training process, accompanied by reusable code. This work is anticipated to provide a solid foundation for the further development of protein distance prediction tools.


Assuntos
Redes Neurais de Computação , Proteínas/química , Sequência de Aminoácidos , Biologia Computacional/métodos , Humanos , Conformação Proteica , Dobramento de Proteína , Elementos Estruturais de Proteínas , Alinhamento de Sequência/métodos , Design de Software
18.
PLoS Comput Biol ; 17(12): e1009613, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34860825

RESUMO

Machine learning algorithms, including recent advances in deep learning, are promising for tools for detection and classification of broadband high frequency signals in passive acoustic recordings. However, these methods are generally data-hungry and progress has been limited by challenges related to the lack of labeled datasets adequate for training and testing. Large quantities of known and as yet unidentified broadband signal types mingle in marine recordings, with variability introduced by acoustic propagation, source depths and orientations, and interacting signals. Manual classification of these datasets is unmanageable without an in-depth knowledge of the acoustic context of each recording location. A signal classification pipeline is presented which combines unsupervised and supervised learning phases with opportunities for expert oversight to label signals of interest. The method is illustrated with a case study using unsupervised clustering to identify five toothed whale echolocation click types and two anthropogenic signal categories. These categories are used to train a deep network to classify detected signals in either averaged time bins or as individual detections, in two independent datasets. Bin-level classification achieved higher overall precision (>99%) than click-level classification. However, click-level classification had the advantage of providing a label for every signal, and achieved higher overall recall, with overall precision from 92 to 94%. The results suggest that unsupervised learning is a viable solution for efficiently generating the large, representative training sets needed for applications of deep learning in passive acoustics.


Assuntos
Acústica , Cetáceos/fisiologia , Ecolocação/fisiologia , Aprendizado de Máquina , Algoritmos , Animais , California , Análise por Conglomerados , Biologia Computacional , Interpretação Estatística de Dados , Bases de Dados Factuais , Aprendizado Profundo , Design de Software , Aprendizado de Máquina não Supervisionado , Baleias/fisiologia
19.
Can J Dent Hyg ; 55(3): 137-147, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-34925514

RESUMO

Background: In 2017, the American Academy of Periodontology and the European Federation of Periodontology updated the classification of periodontal and peri-implant diseases and conditions. The goal of the present crossover study was to develop straightforward, illustrative flowcharts and determine their impact on the accuracy and speed of diagnosing periodontal conditions by predoctoral dental students (DS) and dental hygiene students (DHS). Methods: Two flowcharts (a decision-tree flowchart and one based on the periodontal disease/condition entity) were developed using updated diagnostic determinants proposed by the 2017 classification. A total of 26 second-, third-, and fourth-year DS (DS2, DS3, and DS4, respectively) and second-year DHS (DHS2) took a mock examination consisting of 10 periodontal clinical cases. The participants first diagnosed periodontal conditions using only their curricula-based knowledge (control) and then using the flowcharts (test). They also completed an optional post-examination questionnaire to provide feedback on the flowcharts. Statistical significance was detected at p ≤ 0.05. Results: Combined test groups had significantly higher accuracy in diagnosing periodontal conditions compared to controls (73.5% vs 50.0%, respectively), with the most substantial improvement in DS2 (66.3% vs 30%, respectively) and DHS2 (70.0% vs 41.4%, respectively). Combined test groups also completed the examination more quickly compared to controls (14.92 vs 20.85 minutes, respectively). The participants provided positive feedback and constructive criticism on the flowcharts, and also suggested converting them into application software. Conclusion: The flowcharts significantly improved the accuracy of diagnosing periodontal conditions in academic settings, especially among junior, less experienced participants.


Contexte: En 2017, l'Académie américaine de parodontologie et la Fédération européenne de parodontologie ont mis à jour leur classification des maladies et des affections parodontales et péri-implantaires. L'objectif de la présente étude croisée était de créer des organigrammes simples et représentatifs et de déterminer leur effet sur l'exactitude et la vitesse de diagnostic des affections parodontales par les étudiants en médecine dentaire, prédoctorat(ÉD) et les étudiants en hygiène dentaire (ÉHD). Méthodes: Deux organigrammes (un organigramme d'arbre décisionnel et un graphique basé sur l'entité de la maladie ou de l'affection parodontale) ont été élaborés à l'aide des déterminants diagnostiques actualisés, comme proposés dans la classification de 2017. Un total de 26 étudiants de deuxième, troisième et quatrième année (ÉD2, ÉD3 et ÉD4, respectivement) en médecine dentaire et des étudiants de deuxième année en hygiène dentaire (ÉHD2) ont passé un examen fictif portant sur 10 cas cliniques parodontaux. Les participants ont d'abord diagnostiqué les affections parodontales en utilisant seulement leurs connaissances fondées sur leur programme d'études (témoins) et en utilisant ensuite les organigrammes (tests). Ils ont aussi rempli un questionnaire optionnel après avoir passé l'examen afin de fournir des commentaires sur les organigrammes. La signification statistique a été décelée à p ≤ 0,05. Résultats: Les groupes de tests combinés avaient une exactitude considérablement plus élevée dans le diagnostic des affections parodontales par rapport aux groupes témoins (73,5 % contre 50,0 %, respectivement), et l'amélioration la plus importante était chez les ÉD2 (66,3 % contre 30 %, respectivement) et les ÉHD2 (70,0 % contre 41,4 %, respectivement). Les groupes de tests combinés ont aussi terminé l'examen plus rapidement par rapport aux groupes témoins (14,92 contre 20,85 minutes, respectivement). Les participants ont fourni des commentaires positifs et des critiques constructives sur les organigrammes et ont aussi suggéré de les convertir en logiciels d'application. Conclusion: Les organigrammes ont considérablement amélioré l'exactitude du diagnostic des affections parodontales dans les milieux d'enseignement, surtout chez les participants débutants et moins expérimentés.


Assuntos
Educação em Odontologia , Higiene Bucal , Estudos Cross-Over , Humanos , Design de Software , Estudantes
20.
PLoS One ; 16(12): e0261431, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34941912

RESUMO

Advanced Encryption Standard (AES) is the most secured ciphertext algorithm that is unbreakable in a software platform's reasonable time. AES has been proved to be the most robust symmetric encryption algorithm declared by the USA Government. Its hardware implementation offers much higher speed and physical security than that of its software implementation. The testability and hardware Trojans are two significant concerns that make the AES chip complex and vulnerable. The problem of testability in the complex AES chip is not addressed yet, and also, the hardware Trojan insertion into the chip may be a significant security threat by leaking information to the intruder. The proposed method is a dual-mode self-test architecture that can detect the hardware Trojans at the manufacturing test and perform an online parametric test to identify parametric chip defects. This work contributes to partitioning the AES circuit into small blocks and comparing adjacent blocks to ensure self-referencing. The detection accuracy is sharpened by a comparative power ratio threshold, determined by process variations and the accuracy of the built-in current sensors. This architecture can reduce the delay, power consumption, and area overhead compared to other works.


Assuntos
Segurança Computacional , Software , Algoritmos , Computadores , Design de Software
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...