Academic literature on the topic 'LQT1'
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Journal articles on the topic "LQT1"
Gao, Yuanfeng, Wenling Liu, Cuilan Li, Xiaoliang Qiu, Xuguang Qin, Baojing Guo, Xueqin Liu, et al. "Common Genotypes of Long QT Syndrome in China and the Role of ECG Prediction." Cardiology 133, no. 2 (October 24, 2015): 73–78. http://dx.doi.org/10.1159/000440608.
Full textPaavonen, K. J., H. Swan, K. Piippo, L. Hokkanen, P. Laitinen, M. Viitasalo, L. Toivonen, and K. Kontula. "Response of the QT interval to mental and physical stress in types LQT1 and LQT2 of the long QT syndrome." Heart 86, no. 1 (July 1, 2001): 39–44. http://dx.doi.org/10.1136/hrt.86.1.39.
Full textHarmer, S. C., and A. Tinker. "The role of abnormal trafficking of KCNE1 in long QT syndrome 5." Biochemical Society Transactions 35, no. 5 (October 25, 2007): 1074–76. http://dx.doi.org/10.1042/bst0351074.
Full textPaci, Michelangelo, Simona Casini, Milena Bellin, Jari Hyttinen, and Stefano Severi. "Large-Scale Simulation of the Phenotypical Variability Induced by Loss-of-Function Long QT Mutations in Human Induced Pluripotent Stem Cell Cardiomyocytes." International Journal of Molecular Sciences 19, no. 11 (November 13, 2018): 3583. http://dx.doi.org/10.3390/ijms19113583.
Full textBorowiec, Karolina, Mirosław Kowalski, Magdalena Kumor, Joanna Duliban, Witold Śmigielski, Piotr Hoffman, and Elżbieta Katarzyna Biernacka. "Prolonged left ventricular contraction duration in apical segments as a marker of arrhythmic risk in patients with long QT syndrome." EP Europace 22, no. 8 (June 12, 2020): 1279–86. http://dx.doi.org/10.1093/europace/euaa107.
Full textOdening, Katja E., Malcolm Kirk, Michael Brunner, Ohad Ziv, Peem Lorvidhaya, Gong Xin Liu, Lorraine Schofield, et al. "Electrophysiological studies of transgenic long QT type 1 and type 2 rabbits reveal genotype-specific differences in ventricular refractoriness and His conduction." American Journal of Physiology-Heart and Circulatory Physiology 299, no. 3 (September 2010): H643—H655. http://dx.doi.org/10.1152/ajpheart.00074.2010.
Full textJoutsijoki, Henry, Kirsi Penttinen, Martti Juhola, and Katriina Aalto-Setälä. "Separation of HCM and LQT Cardiac Diseases with Machine Learning of Ca2+ Transient Profiles." Methods of Information in Medicine 58, no. 04/05 (November 2019): 167–78. http://dx.doi.org/10.1055/s-0040-1701484.
Full textChakova, N. N., S. M. Komissarova, E. A. Zasim, T. V. Dolmatovich, E. S. Rebeko, S. S. Niyazova, E. V. Zaklyazminskaya, L. I. Plashchinskaya, and M. V. Dudko. "Spectrum of mutations and their phenotypic manifestations in children and adults with long QT syndrome." Russian Journal of Cardiology 26, no. 10 (November 22, 2021): 4704. http://dx.doi.org/10.15829/1560-4071-2021-4704.
Full textOdening, Katja E., Omar Hyder, Leonard Chaves, Lorraine Schofield, Michael Brunner, Malcolm Kirk, Manfred Zehender, Xuwen Peng, and Gideon Koren. "Pharmacogenomics of anesthetic drugs in transgenic LQT1 and LQT2 rabbits reveal genotype-specific differential effects on cardiac repolarization." American Journal of Physiology-Heart and Circulatory Physiology 295, no. 6 (December 2008): H2264—H2272. http://dx.doi.org/10.1152/ajpheart.00680.2008.
Full textDiamant, Ulla-Britt, Farzad Vahedi, Annika Winbo, Annika Rydberg, Eva-Lena Stattin, Steen M. Jensen, and Lennart Bergfeldt. "Electrophysiological phenotype in the LQTS mutations Y111C and R518X in the KCNQ1 gene." Journal of Applied Physiology 115, no. 10 (November 15, 2013): 1423–32. http://dx.doi.org/10.1152/japplphysiol.00665.2013.
Full textDissertations / Theses on the topic "LQT1"
Castiglione, Alessandro [Verfasser], and Katja Elisabeth [Akademischer Betreuer] Odening. "Genotype-specific beneficial QT-shortening effects of docosahexaenoic acid in transgenic LQT1, LQT2, LQT5 and LQT2-5 rabbit models." Freiburg : Universität, 2018. http://d-nb.info/1216417571/34.
Full textTakenaka, Kotoe. "Exercise stress test amplifies genotype-phenotype correlation in the LQT1 and LQT2 forms of the long-QT syndrome." Kyoto University, 2005. http://hdl.handle.net/2433/144720.
Full textBERNARDI, JOYCE. "Arrhythmogenic mechanisms in genetic channelopathies." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2017. http://hdl.handle.net/10281/153192.
Full textBackground: Recently, minor SNP variants of the NOS1AP gene have been reported to be associated with QT prolongation and increased incidence of sudden death in LQT1 patients. The NOS1AP gene encodes for CAPON protein, that localizes NOS1 close to the sarcoplasmic reticulum (SR). NOS1 activity accounts for NO-mediated modulation of ICaL, RyR2 channels and SERCA, thus interfering with regulation of Ca2+ handling and SR stability. Therefore we hypothesize that NOS1AP SNPs might affect NOS1 localization/function to decrease SR stability. In this setting, mutation-induced QT prolongation would induce Ca2+ overload, whose proarrhythmic effect would be unveiled by abnormal NOS1 localization/function. Aim: To evaluate the effect of changes in NOS1 activity on SR functional stability, repolarization and arrhythmogenesis in the context of IKs deficiency (LQT1). Methods: In guinea-pig ventricular myocytes subjected to IKs blockade (to reproduce the LQT1 phenotype) and adrenergic stimulation (Isoproterenol, ISO), we measured electrical activity, membrane currents and intracellular Ca2+, in basal condition and under selective inhibition of NOS1 (SMTC 3µM). Results: Under basal conditions, NOS1 inhibition prolonged AP duration (APD) (152.6 11.7 ms vs 96.1 9.0 ms; 58.8%. p<0.01), enhanced ICaL density (peak current density at +10 mV, SMTC vs CTRL: -16.61.2 pA/pF vs -13.51.0 pA/pF; p<0.05) and did not affect IKs (SMTC vs CTRL: 2.50.4 pA/pF vs 2.60.2 pA/pF) and IKr (SMTC vs CTRL: 0.840.04 pA/pF vs 0.910.05 pA/pF). The -adrenergic agonist isoproterenol (ISO, 1nM) induced delayed afterdepolarizations (DADs), an index of SR instability, in a significantly greater percentage of SMTC treated cells, compared to control ones (93% for SMTC vs 22% for CTRL, p<0.01). Moreover, the average time of DADs appearance was significantly different between SMTC and CTRL myocytes, with a earlier rise after NOS1 inhibition (25.8 ± 3.8 s and 61.5 ± 15.3 s respectively, p<0.01). Furthermore, the duration of the AP is important for the occurrence of these events, as switching from a long AP (140 ms) to a short AP (100 ms) waveform under ISO application in AP clamp mode, transient inward currents (Iti) were abolished. Conclusions: These results indicate that NOS1 deficiency may contribute to APD prolongation and enhance Ca2+ influx; these effects compromise SR stability in the presence of adrenergic stimulation. The effects of NOS1 inhibition are such as to account for the arrhythmogenic effect of NOS1AP polymorphism.
Zenouzi, Roman [Verfasser], and Patrick [Akademischer Betreuer] Friederich. "Bupivacain destabilisiert die Aktionspotentialdauer im zellulären und computergestützten LQT1-Modell / Roman Zenouzi. Betreuer: Patrick Friederich." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2012. http://d-nb.info/1030365504/34.
Full textKoppermann, Susanne [Verfasser], and Katja Elisabeth [Akademischer Betreuer] Odening. "Genotyp- und geschlechtsspezifische Unterschiede der zellulären Elektrophysiologie und Kalziumhomöostase in transgenen LQT1 und Wildtyp Kaninchen." Freiburg : Universität, 2017. http://d-nb.info/1148929495/34.
Full textKobori, Atsushi. "Additional gene variants reduce effectiveness of β-blockers in the LQT1 form of the long QT syndrome." Kyoto University, 2004. http://hdl.handle.net/2433/147467.
Full textClaure, Oviedo Jördis [Verfasser], and Alexander [Akademischer Betreuer] Schwoerer. "Etablierung eines in vivo Meerschweinchenmodells zur Risikostratifizierung medikamenteninduzierter LQT1 anhand vonIsofluran, Sevofluran und Droperidol / Jördis Claure Oviedo ; Betreuer: Alexander Schwoerer." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2018. http://d-nb.info/1155303733/34.
Full textSALA, LUCA. "Long QT Syndrome modelled with human induced pluripotent stem cells (hiPSc)." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2014. http://hdl.handle.net/10281/55330.
Full textMartins, João Paulo Ataíde 1980. "Desenvolvimento de softwares, algoritmos e diferentes abordagens quimiométricas em estudos de QSAR." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/248544.
Full textTese (doutorado) - Universidade Estadual de Campinas, Instituto de Química
Made available in DSpace on 2018-08-25T11:39:21Z (GMT). No. of bitstreams: 1 Martins_JoaoPauloAtaide_D.pdf: 3637503 bytes, checksum: 5fe52d182b4f300eb103baf168ad75ab (MD5) Previous issue date: 2013
Resumo: O planejamento de fármacos com o auxílio do computador é uma área de pesquisa de extrema importância em química e áreas correlatas. O conjunto de ferramentas disponíveis para tal fim consiste, dentre outras, em programas para geração de descritores e construção e validação de modelos matemáticos em QSAR (do inglês, Quantitative Structure-Activity Relationship). Com o objetivo de tornar esse estudo mais acessível para a comunidade científica, novas metodologias e programas para geração de descritores e construção e validação de modelos QSAR foram desenvolvidos nessa tese. Uma nova metodologia de QSAR 4D, conhecida com LQTA-QSAR, foi desenvolvida com o objetivo de gerar descritores espaciais levando em conta os perfis de amostragem conformacional das moléculas em estudo obtidos a partir de simulações de dinâmica molecular. A geração desses perfis é feita com o software livre GROMACS e os descritores são gerados a partir de um novo software desenvolvido nesse trabalho, chamado de LQTAgrid. Os resultados obtidos com essa metodologia foram validados comparando-os com resultados obtidos para conjuntos de dados disponíveis na literatura. Um outro software de fácil uso, e que engloba as principais ferramentas de construção e validação de modelos em QSAR, foi desenvolvido e chamado de QSAR modeling. Esse software implementa o método de seleção de variáveis OPS, desenvolvido em nosso laboratório, e utiliza PLS (do inglês Partial Least Squares) como método de regressão. A escolha do algoritmo PLS implementado no programa foi feita com base em um estudo sobre o desempenho e a precisão no erro de validação dos principais algoritmos PLS disponíveis na literatura. Além disso, o programa QSAR modeling foi utilizado em um estudo de QSAR 2D para um conjunto de 20 flavonóides com atividade anti-mutagênica contra 3-nitrofluoranteno (3-NFA)
Abstract: Computer aided drug design is an important research field in chemistry and related areas. The available tools used in such studies involve software to generate molecular descriptors and to build and validate mathematical models in QSAR (Quantitative Structure-Activity Relationship). A new set of methodologies and software to generate molecular descriptors and to build and validate QSAR models were developed aiming to make these kind of studies more accessible to scientific community. A new 4DQSAR methodology, known as LQTA-QSAR, was developed with the purpose to generate spatial descriptors taking into account conformational ensemble profile obtained from molecular dynamics simulations. The generation of these profiles is performed by free software GROMACS and the descriptors are generated by a new software developed in this work, called LQTAgrid. The results obtained with this methodology were validated comparing them with results available in literature. Another user friendly software, which contains some of the most important tools used to build and validate QSAR models was developed and called QSAR modeling. This software implements the OPS variable selection algorithm, developed in our laboratory, and uses PLS (Partial Least Squares) as regression method. The choice of PLS algorithm implemented in the program was performed by a study about the performance and validation precision error involving the most important PLS algorithms available in literature. Further, QSAR modeling was used in a 2D QSAR study with 20 flavonoid derivatives with antimutagenic activity against 3-nitrofluoranthene (3-NFA)
Doutorado
Físico-Química
Doutor em Ciências
Barbosa, Euzébio Guimarães. "Ferramentas para QSAR-4D dependente de receptores = aplicação em uma série de inibidores da tripanotiona redutase do T. cruzi." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/248547.
Full textTese (doutorado) - Universidade Estadual de Campinas, Instituto de Química
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Resumo: LQTA-QSAR é uma metodologia computacional para QSAR-4D desenvolvida pelo Laboratório de Quimiometria Teórica e Aplicada implementada em um software de acesso livre. O método permite considerar simultaneamente as vantagens da representação molecular multiconformacional e os descritores de campos de interação. Esta tese apresenta a evolução da proposta inicial da metodologia LQTA-QSAR independente de receptores para uma abordagem dependente de receptores. Sua aplicação é demonstrada na construção de modelos de QSAR-4D para a previsão da atividade inibitória de compostos fenotiazínicos da enzima tripanotiona redutase. Foi obtido um modelo com bom poder de previsão (Qprev = 0,78) e com descritores de fácil interpretação. Tal modelo pode ser usado para a proposição de compostos que poderão vir a ser usados para o tratamento da doença de chagas. Para a filtragem e seleção de descritores foi necessário o desenvolvimento de um protocolo completamente distinto daquele disponível na literatura. Foi proposto um procedimento automatizado para identificar e eliminar descritores irrelevantes quando a correlação e um algoritmo que elimina descritores com distribuição díspar em relação à atividade biológica. Foram introduzidos também testes de validação de modelos QSAR nunca antes usados para modelos que utilizam descritores de campo de interação. O protocolo completo foi testado em três conjuntos de dados e os modelos obtidos tiveram capacidade de previsão superior aos da literatura. Os modelos mostraram ser bastante simples e robustos quando submetidos aos testes leave-N-out e y-randomization
Abstract: The New Receptor-Dependent LQTA-QSAR approach is proposed as a new 4D-QSAR method. The RD-LQTA-QSAR is an evolution to the receptor independent LQTA-QSAR. This approach make use of the simulation package GROMACS to carry out molecular dynamics simulations and generate a conformational ensemble profile for each compound. Such ensemble is used to build molecular interaction field based QSAR models, as in CoMFA. To verify the usefulness of the methodology it was chosen some phenothiazine derivatives that are specific competitive T. cruzi trypanothione reductase inhibitors. Using a combination of molecular docking and molecular dynamics simulations the binding mode of 38 phenotiazine derivatives was evaluated in a simulated induced fit approach. The ligands¿ alignment, necessary to the methodology, was performed using both ligand and binding site atoms hereafter enabling unbiased alignment. The obtained models were extensively validated by Leave-N-out cross-validation and y-randomization techniques to test robustness and absence of chance correlation. The final model presented Q LOO of 0.87 and R of 0.92 and suitable external prediction = 0.78. It is possible to use the obtained adapted binding site of to perform virtual screening and ligand structures based design, as well as using models descriptors to design new inhibitors. In the process of QSAR modeling, the relevance of correlation and distribution profiles were tested in order to improve prediction power. A set of tools to filter descriptors prior to variable selection and a protocol for molecular interaction field descriptors selection and models validation are proposed. The algorithms and protocols presents are quite simple to apply and enable a different and powerful way to build LQTA-QSAR models
Doutorado
Físico-Química
Doutor em Ciências
Books on the topic "LQT1"
Histoire LQT 2de Manuel 2019. NATHAN, 2019.
Find full textLove, Aowie. Composition Notebook : Hexagon Paper: Organic Chemistry and Biochemistry Note Book, Science Notebooks-LQT6. Independently Published, 2020.
Find full textNuyens, Dieter. Generation & Characterization of a Mouse Model for a Sodium Channel Based Long Qt Syndrome (Lqt3), an Inherited Arrhythmogenic Disease. Leuven University Press, 2006.
Find full textJaslyn, Daryl. Productivity Planner: Skiing Couple I Choose You Pt Lqt Nth 110 Pages Daily Planner, Calendar and Gratitude Journal to Increase Productivity and Happiness, High Performance Organizer Planner. Independently Published, 2021.
Find full textDay, Daryl. Productivity Planner: Ballet Not Easy Worth It Pt Lqt Dqh 110 Pages Daily Planner, Calendar and Gratitude Journal to Increase Productivity and Happiness, High Performance Organizer Planner. Independently Published, 2021.
Find full textHaley, Mcculloch. Daily Journal: Be Cowgirl Who Loves Surfing Pt Lqt Ntv Easily Organizes Your Daily Tasks and Boosts Productivity - the Perfect Journal and Undated Office Supplies Notepad for Women, Men, Kids. Independently Published, 2021.
Find full textChase, Mcculloch. Daily Journal: Snowboarding Beer Murde Is Wrong Pt Lqt Nna Easily Organizes Your Daily Tasks and Boosts Productivity - the Perfect Journal and Undated Office Supplies Notepad for Women, Men, Kids. Independently Published, 2021.
Find full textKaiser, Mcculloch. Daily Journal: Moto Biker Race Corner Happiness Pt Lqt Ngt Easily Organizes Your Daily Tasks and Boosts Productivity - the Perfect Journal and Undated Office Supplies Notepad for Women, Men, Kids. Independently Published, 2021.
Find full textBerry, Mcculloch. Daily Journal: Golf Golf for a Living Pt Lqt Dqh Easily Organizes Your Daily Tasks and Boosts Productivity - the Perfect Journal and Undated Office Supplies Notepad for Women, Men, Kids. Independently Published, 2021.
Find full textSnyder, Evans. Daily Planner: Aikido Ferret Pt Lqt Pml to Do List Notebook, Hourly Schedules Undated, Boosts Productivity, Easily Organizes Daily Tasks, the Perfect Journal and Office Supplies Notepad for Women Mandala Content. Independently Published, 2021.
Find full textBook chapters on the topic "LQT1"
Bari, V., T. Bassani, A. Marchi, G. Girardengo, L. Calvillo, S. Cerutti, P. A. Brink, L. Crotti, P. J. Schwartz, and A. Porta. "Symbolic Analysis of Heart Period and QT Interval Variabilities in LQT1 Patients." In IFMBE Proceedings, 531–34. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_131.
Full textDomínguez, Sebastián, Joyce Reimer, Kevin R. Green, Reza Zolfaghari, and Raymond J. Spiteri. "A Simulation-Based Method to Study the LQT1 Syndrome Remotely Using the EMI Model." In Emerging Technologies in Biomedical Engineering and Sustainable TeleMedicine, 179–89. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-14647-4_12.
Full textFischer, Gabriele, Annemarie Unger, W. Wolfgang Fleischhacker, Cécile Viollet, Jacques Epelbaum, Daniel Hoyer, Ina Weiner, et al. "LQTS." In Encyclopedia of Psychopharmacology, 730. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_4332.
Full textLeung, Alexander K. C., William Lane M. Robson, Carsten Büning, Johann Ockenga, Janine Büttner, Hartmut Schmidt, Antonio V. Delgado-Escueta, et al. "LQTS." In Encyclopedia of Molecular Mechanisms of Disease, 1212–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_9515.
Full textLeung, Alexander K. C., William Lane M. Robson, Carsten Büning, Johann Ockenga, Janine Büttner, Hartmut Schmidt, Antonio V. Delgado-Escueta, et al. "LQT Syndrome." In Encyclopedia of Molecular Mechanisms of Disease, 1212. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-29676-8_6927.
Full textZareba, Wojciech. "Clinical Management of LQTS Patients." In Cardiac Repolarization, 165–84. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22672-5_9.
Full textMazzanti, Andrea, and Silvia G. Priori. "Inherited Arrhythmias: LQTS/SQTS/CPVT." In Cardiovascular Genetics and Genomics, 413–35. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-66114-8_13.
Full textFriedewald, Vincent E. "Long QT Syndrome: Acquired (LQTS)." In Clinical Guide to Cardiovascular Disease, 797–805. London: Springer London, 2016. http://dx.doi.org/10.1007/978-1-4471-7293-2_57.
Full textFurutani, Yoshiyuki, Emiko Hayama, Nanako Kawaguchi, Yasuhiro Katsube, Eiko Oomichi, Mitsuyo Shimada, Kei Inai, and Toshio Nakanishi. "Establishment of an In Vitro LQT3 model Using Induced Pluripotent Stem Cells from LQT3 Patient-Derived Cardiomyocytes." In Molecular Mechanism of Congenital Heart Disease and Pulmonary Hypertension, 393–94. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1185-1_63.
Full textZimmer, Thomas, and Klaus Benndorf. "Molecular Mechanisms of Voltage-Gated Na+ Channel Dysfunction in LQT3 Syndrome." In Heart Rate and Rhythm, 409–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17575-6_22.
Full textConference papers on the topic "LQT1"
Adolfo Sampedro-Puente, David, Fabien Raphel, Jesus Fernandez-Bes, Pablo Laguna, Damiano Lombardi, and Esther Pueyo. "In Silico Characterization of Repolarization Duration and Variability in the LQT1 Syndrome Under β-Adrenergic Stimulation." In 2020 Computing in Cardiology Conference. Computing in Cardiology, 2020. http://dx.doi.org/10.22489/cinc.2020.430.
Full textBorrás Pinilla, Carlos, José Luis Sarmiento, and Rubén Darío Guiza. "Modelling, System Identification and Position Control Based on LQR Formulation for an Electro-Hydraulic Servo System." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11505.
Full textAlonso-Atienza, Felipe, Jesus Requena-Carrion, Jose Luis Rojo-Alvarez, Omer Berenfeld, and Jose Jalife. "Action Potential Alternans in LQT3 Syndrome: A Simulation Study." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352371.
Full textRobertson, Clay J., Andrew J. Sinclair, and Emily Doucette. "Decentralized LQT in a Limited Information Environment." In AIAA Guidance, Navigation, and Control Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-1252.
Full textAndrzejewska, Malgorzata, Mateusz Ozimek, Karolina Rams, and Teodor Buchner. "Asymmetry of RR intervals and ECG amplitudes in LQTS patients." In 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). IEEE, 2022. http://dx.doi.org/10.1109/esgco55423.2022.9931345.
Full textPintaningrum, Yusra, and Ketut Angga Aditya Putra Pramana. "Acquired Long QT Syndrome (LQTS) Secondary to Electrolyte Imbalance: A Case Report." In 2nd Global Health and Innovation in conjunction with 6th ORL Head and Neck Oncology Conference (ORLHN 2021). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/ahsr.k.220206.047.
Full textBartolucci, Chiara, Cristina Moreno, Anna Oliveras, Carmen Mu�oz, Alicia de la Cruz, Diego A. Peraza, Juan R. Gimeno, et al. "IKs Computational Modeling to Enforce the Investigation of D242N, a KV7.1 LQTS Mutation." In 2017 Computing in Cardiology Conference. Computing in Cardiology, 2017. http://dx.doi.org/10.22489/cinc.2017.064-312.
Full textShafiee, Pouya, and Yazdan Batmani. "Output Voltage Control of Inverters Using SDRE Tracking and LQT Controllers." In 2019 6th International Conference on Control, Instrumentation and Automation (ICCIA). IEEE, 2019. http://dx.doi.org/10.1109/iccia49288.2019.9030812.
Full textZhao, "Shumo, Cunjin Luo, Ying He, and Linghua Li." "Simulation of Acquired LQT Syndrome Using Human Virtual Ventricular Cardiomyocyte Model." In 2022 Computing in Cardiology Conference. Computing in Cardiology, 2022. http://dx.doi.org/10.22489/cinc.2022.420.
Full textOLIVEIRA, LARA TAVARES DE, KAIQUE SILVEIRA VIANA COSTA, KENEDY MATIASSO PORTELLA, LUCAS VIZZOTTO BELLINASO, FERNANDA DE MORAIS CARNIELUTTI, and DENIEL DESCONZI MORAES. "Quadcopter Modeling and Control Using Controller Hardware-in-the-Loop." In Seminar on Power Electronics and Control (SEPOC 2021). sepoc, 2021. http://dx.doi.org/10.53316/sepoc2021.080.
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