Simulations of the Cardiovascular System Using the Cardiovascular Simulation Toolbox
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Marta Vilchez-Monge | Gabriela Ortiz-Leon | Juan J. Montero-Rodríguez | Gabriela Ortiz-León | M. Vílchez-Monge
[1] Sampath Kannan,et al. Steering of Discrete Event Systems: Control Theory Approach , 2006, Electron. Notes Theor. Comput. Sci..
[2] David John Pumfrey,et al. The principled design of computer system safety analyses , 1999 .
[3] S. Hettinga,et al. Performance analysis for embedded software design , 2010 .
[4] P. Macintyre,et al. Safety and efficacy of patient-controlled analgesia. , 2001, British journal of anaesthesia.
[5] Ing. Martin Hlaváč,et al. WINDKESSEL MODEL ANALYSIS IN MATLAB , 2004 .
[6] Thomas A. Henzinger,et al. The theory of hybrid automata , 1996, Proceedings 11th Annual IEEE Symposium on Logic in Computer Science.
[7] Taolue Chen,et al. Quantitative Verification of Implantable Cardiac Pacemakers , 2012, 2012 IEEE 33rd Real-Time Systems Symposium.
[8] L. B. E. A. Hoeks,et al. Real‐time continuous glucose monitoring system for treatment of diabetes: a systematic review , 2011, Diabetic medicine : a journal of the British Diabetic Association.
[9] W. Kenneth Ward,et al. Development of a fully automated closed loop artificial pancreas control system with dual pump delivery of insulin and glucagon , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[10] David Arney,et al. Design Pillars for Medical Cyber-Physical System Middleware , 2014, MCPS.
[11] J. Goodenough,et al. Towards an Assurance Case Practice for Medical Devices , 2009 .
[12] C. Cobelli,et al. In Silico Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes , 2009, Journal of diabetes science and technology.
[13] Catherine Menon,et al. Issues and considerations for a modular safety certification approach in a service-oriented architecture , 2010 .
[14] Jie Li,et al. Cloud auto-scaling with deadline and budget constraints , 2010, 2010 11th IEEE/ACM International Conference on Grid Computing.
[15] Peter Hunold,et al. Assessment of left ventricular parameters using 16-MDCT and new software for endocardial and epicardial border delineation. , 2005, AJR. American journal of roentgenology.
[16] Somanath Majhi,et al. PID controller tuning for integrating processes. , 2010, ISA transactions.
[17] Insup Lee,et al. Model-Driven Safety Analysis of Closed-Loop Medical Systems , 2014, IEEE Transactions on Industrial Informatics.
[18] O. Frank,et al. Die grundform des arteriellen pulses , 1899 .
[19] Insup Lee,et al. From Verification to Implementation: A Model Translation Tool and a Pacemaker Case Study , 2012, 2012 IEEE 18th Real Time and Embedded Technology and Applications Symposium.
[20] Wang Yi,et al. Uppaal in a nutshell , 1997, International Journal on Software Tools for Technology Transfer.
[21] Darrell M. Wilson,et al. A Closed-Loop Artificial Pancreas Using Model Predictive Control and a Sliding Meal Size Estimator , 2009, Journal of diabetes science and technology.
[22] Raymond Keith Clark,et al. Scheduling dependent real-time activities , 1990 .
[23] J. Leahy,et al. Fully Automated Closed-Loop Insulin Delivery Versus Semiautomated Hybrid Control in Pediatric Patients With Type 1 Diabetes Using an Artificial Pancreas , 2008 .
[24] L. Magni,et al. Diabetes: Models, Signals, and Control , 2010, IEEE Reviews in Biomedical Engineering.
[25] Taolue Chen,et al. Quantitative verification of implantable cardiac pacemakers over hybrid heart models , 2014, Inf. Comput..
[26] Miroslaw Malek,et al. A Fault Taxonomy for Service-Oriented Architecture , 2007, 10th IEEE High Assurance Systems Engineering Symposium (HASE'07).
[27] Zhihao Jiang,et al. Real-Time Heart Model for Implantable Cardiac Device Validation and Verification , 2010, 2010 22nd Euromicro Conference on Real-Time Systems.
[28] F. El-Khatib,et al. Adaptive Closed-Loop Control Provides Blood-Glucose Regulation Using Dual Subcutaneous Insulin and Glucagon Infusion in Diabetic Swine , 2007, Journal of diabetes science and technology.
[29] Taolue Chen,et al. A simulink hybrid heart model for quantitative verification of cardiac pacemakers , 2013, HSCC '13.
[30] Venkatesh Kannan,et al. Formal Modeling and Scheduling of Datapaths of Digital Document Printers , 2008, FORMATS.
[31] Insup Lee,et al. A Safety Case Pattern for Model-Based Development Approach , 2012, NASA Formal Methods.
[32] Zhihao Jiang,et al. Cyber–Physical Modeling of Implantable Cardiac Medical Devices , 2012, Proceedings of the IEEE.
[33] S. Sung,et al. Cascade control strategy for external carbon dosage in predenitrifying process. , 2002, Water science and technology : a journal of the International Association on Water Pollution Research.
[34] Twan Basten,et al. Model-Driven Design-Space Exploration for Embedded Systems: The Octopus Toolset , 2010, ISoLA.
[35] D H Singer,et al. Twenty-four hour time domain heart rate variability and heart rate: relations to age and gender over nine decades. , 1998, Journal of the American College of Cardiology.
[36] Arnd Hartmanns,et al. Model-Checking and Simulation for Stochastic Timed Systems , 2010, FMCO.
[37] Frits W. Vaandrager,et al. Verification of Printer Datapaths Using Timed Automata , 2010, ISoLA.
[38] E R Carson,et al. Five-compartment model of insulin kinetics and its use to investigate action of chloroquine in NIDDM. , 1993, The American journal of physiology.
[39] Insup Lee,et al. Formal Methods Based Development of a PCA Infusion Pump Reference Model: Generic Infusion Pump (GIP) Project , 2007, 2007 Joint Workshop on High Confidence Medical Devices, Software, and Systems and Medical Device Plug-and-Play Interoperability (HCMDSS-MDPnP 2007).
[40] Shamim Nemati,et al. An artificial vector model for generating abnormal electrocardiographic rhythms. , 2010, Physiological measurement.
[41] Yuhong Zhao,et al. Online Model Checking for Dependable Real-Time Systems , 2012, 2012 IEEE 15th International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing.
[43] Borja Sotomayor,et al. Virtual Infrastructure Management in Private and Hybrid Clouds , 2009, IEEE Internet Computing.
[44] L. Magni,et al. Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier , 2009, Journal of diabetes science and technology.
[45] Boudewijn R. Haverkort,et al. Performance Evaluation for Collision Prevention Based on a Domain Specific Language , 2013, EPEW.
[46] Alfio Quarteroni,et al. Number 5 Modeling the Cardiovascular System — A Mathematical Adventure : Part I , 2001 .
[47] Marta Z. Kwiatkowska,et al. PRISM 4.0: Verification of Probabilistic Real-Time Systems , 2011, CAV.
[48] Alexandru Mereacre,et al. Automated Verification of Quantitative Properties of Cardiac Pacemaker Software , 2014, MCPS.
[49] Emden R. Gansner,et al. Graphviz - Open Source Graph Drawing Tools , 2001, GD.
[50] Konstantina S. Nikita,et al. An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control , 2011, IEEE Transactions on Biomedical Engineering.
[51] L. Magni,et al. Model Predictive Control of Type 1 Diabetes: An in Silico Trial , 2007, Journal of diabetes science and technology.
[52] Toke Folke Christensen,et al. Sources of Glycemic Variability—What Type of Technology is Needed? , 2009, Journal of diabetes science and technology.
[53] Robert G. Sutherlin,et al. A Bihormonal Closed-Loop Artificial Pancreas for Type 1 Diabetes , 2010, Science Translational Medicine.
[54] Insup Lee,et al. Formal specifications and analysis of the computer-assisted resuscitation algorithm (CARA) Infusion Pump Control System , 2003, International Journal on Software Tools for Technology Transfer.
[55] Holger Hermanns,et al. mctau: Bridging the Gap between Modest and UPPAAL , 2012, SPIN.
[56] H. Beilner,et al. Towards a Performance Modelling Environment: News on Hit , 1989 .
[57] Heiko Ludwig,et al. The WSLA Framework: Specifying and Monitoring Service Level Agreements for Web Services , 2003, Journal of Network and Systems Management.
[58] K Sagawa,et al. Translation of Otto Frank's paper "Die Grundform des Arteriellen Pulses" Zeitschrift für Biologie 37: 483-526 (1899). , 1990, Journal of molecular and cellular cardiology.
[59] Eyal Dassau,et al. Safety Constraints in an Artificial Pancreatic β Cell: An Implementation of Model Predictive Control with Insulin on Board , 2009, Journal of diabetes science and technology.
[60] Ramin Sadre,et al. Simulative and Analytical Evaluation for ASD-Based Embedded Software , 2012, MMB/DFT.
[61] Rollin J. Fairbanks,et al. Programmable Infusion Pumps in ICUs: An Analysis of Corresponding Adverse Drug Events , 2007, Journal of General Internal Medicine.
[62] Jeffrey O. Kephart,et al. The Vision of Autonomic Computing , 2003, Computer.
[63] Epidemiology of severe hypoglycemia in the diabetes control and complications trial. The DCCT Research Group. , 1991, The American journal of medicine.
[64] André Grimaldi,et al. Blood glucose variability: a new paradigm in critical care? , 2006, Anesthesiology.
[65] Insup Lee,et al. Prototyping closed loop physiologic control with the medical device coordination framework , 2010, SEHC '10.
[66] Joost-Pieter Katoen,et al. A compositional modelling and analysis framework for stochastic hybrid systems , 2012, Formal Methods in System Design.
[67] Ravishankar K. Iyer,et al. Analysis of Safety-Critical Computer Failures in Medical Devices , 2013, IEEE Security & Privacy.
[68] Claudio Cobelli,et al. Meal Simulation Model of the Glucose-Insulin System , 2007, IEEE Transactions on Biomedical Engineering.
[69] Sriram Sankaranarayanan,et al. Simulating Insulin Infusion Pump Risks by In-Silico Modeling of the Insulin-Glucose Regulatory System , 2012, CMSB.
[70] Benyamin Grosman,et al. Continuous Glucose Monitoring Considerations for the Development of a Closed-Loop Artificial Pancreas System , 2011, Journal of diabetes science and technology.
[71] Ofer Barnea,et al. Open-Source Programming of Cardiovascular Pressure-Flow Dynamics Using SimPower Toolbox in Matlab and Simulink , 2013 .
[72] Joseph Sifakis,et al. Modeling Synchronous Systems in , 2009 .
[73] Tao Li,et al. From Offline toward Real-Time : A Hybrid Systems Model Checking and CPS Co-Design Approach for Medical Device Plug-and-Play ( MDPnP ) , 2012 .
[74] W. Kenneth Ward,et al. Novel Use of Glucagon in a Closed-Loop System for Prevention of Hypoglycemia in Type 1 Diabetes , 2010, Diabetes Care.
[75] Insup Lee,et al. Assurance Cases in Model-Driven Development of the Pacemaker Software , 2010, ISoLA.
[76] Marta Kwiatkowska,et al. Controller Dependability Analysis by Probabilistic Model Checking , 2004 .
[77] G. Steil,et al. Modeling beta-cell insulin secretion--implications for closed-loop glucose homeostasis. , 2003, Diabetes technology & therapeutics.
[78] Alfio Quarteroni. Modeling the Cardiovascular System — A Mathematical Adventure : Part II , 2001 .
[79] Insup Lee,et al. Toward patient safety in closed-loop medical device systems , 2010, ICCPS '10.
[80] Giovanni Sparacino,et al. “Smart” Continuous Glucose Monitoring Sensors: On-Line Signal Processing Issues , 2010, Sensors.
[81] Steven P. Haveman,et al. Early Insight in Systems Design through Modeling and Simulation , 2014, CSER.
[82] Lijun Zhang,et al. Model Repair for Markov Decision Processes , 2013, 2013 International Symposium on Theoretical Aspects of Software Engineering.
[83] Marta Vilchez-Monge,et al. An updated Cardiovascular Simulation Toolbox , 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).
[84] J. Levy,et al. A method for assessing quality of control from glucose profiles , 2007, Diabetic medicine : a journal of the British Diabetic Association.
[85] Yingchun Fu,et al. Recent advances in electrochemical glucose biosensors: a review , 2013 .
[86] Rajeev Alur,et al. Modeling and Verification of a Dual Chamber Implantable Pacemaker , 2012, TACAS.
[87] Insup Lee,et al. Plug-and-play for medical devices: experiences from a case study. , 2009, Biomedical instrumentation & technology.
[88] Ofer Barnea,et al. Cardiovascular Simulation Toolbox , 2007, Cardiovascular engineering.
[89] Jeffrey S. Racine,et al. gnuplot 4.0: a portable interactive plotting utility , 2006 .
[90] P. Reichard,et al. The effect of long-term intensified insulin treatment on the development of microvascular complications of diabetes mellitus. , 1993, The New England journal of medicine.
[91] S. Patek,et al. Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: The Virginia Experience , 2009, Journal of diabetes science and technology.
[92] C. C. Palerm,et al. Closed-Loop Insulin Delivery Using a Subcutaneous Glucose Sensor and Intraperitoneal Insulin Delivery , 2009, Diabetes Care.
[93] David M Nathan,et al. Efficacy Determinants of Subcutaneous Microdose Glucagon during Closed-Loop Control , 2010, Journal of diabetes science and technology.
[94] Xintao Ma. Online Checking of a Hybrid Laser Tracheotomy Model in UPPAAL-SMC , 2013 .
[95] Gang Quan,et al. On-Line Scheduling of Real-Time Services for Cloud Computing , 2010, 2010 6th World Congress on Services.
[96] C. D. Locke,et al. Best-effort decision-making for real-time scheduling , 1986 .
[97] Kanu Chatterjee,et al. Systolic and diastolic heart failure: differences and similarities. , 2007, Journal of cardiac failure.
[98] Tim Kelly,et al. The Goal Structuring Notation – A Safety Argument Notation , 2004 .
[99] J. R. Boston,et al. A Nonlinear State-Space Model of a Combined Cardiovascular System and a Rotary Pump , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[100] Dale E. Seborg,et al. Control-Relevant Models for Glucose Control Using A Priori Patient Characteristics , 2012, IEEE Transactions on Biomedical Engineering.