From the series: MathWorks Research Summit
Daniel A. Beard, University of Michigan
Cardiomyocytes (muscle cells that makes up the major portion of the walls of the heart) consume metabolic substrates (primarily carbohydrates and fats) to continuously produce adenosine triphosphate (ATP). The hydrolysis breakdown is, in turn, used to drive the electrical and mechanical function of the heart. Because metabolic demand for ATP production in the myocardium is proportional to cardiac work, and because ATP hydrolysis serves as the source of chemical-free energy to drive myocardial contraction, it stands to reason that limitations or impairments in myocardial energy metabolism may contribute to baseline and/or reserve cardiac power output.
Researchers at the University of Michigan use MATLAB® to build multi-scale models of cardiac function integrating metabolic and mechanical function at the cell level, cardiac pumping at the whole-organ level, and circulatory mechanics at the whole-body level. By integrating these processes together in computer simulations, researchers analyze and predict how dysfunction at the cellular metabolic level may impact cardiovascular health. MATLAB based simulations are used to analyze data from laboratory experiments and patient records, and to identify potential new therapeutic strategies.
Neural Networks – Cornerstones in Machine Learning The talk explains common neural networks, several industrial applications of neural networks, and statistical analysis techniques. In addition to MATLAB and Simulink, apps can be found in Statistics and Machine Learning and Deep Learning Toolboxes.
Realizing the Grand Vision of IoT: Normal Forms and Decision Support Cyber-physical systems framework developed by NIST aims to support the development of freely composable Internet of Things systems in an integrated development, monitoring, and assessment environment.
How the Heart Turns Metabolic Fuel into Mechanical Work Computer simulations probe how the heart turns metabolic fuel into mechanical work.
A MATLAB Toolbox for Robust Statistics: Use in Policy Research The use of Flexible Statistics and Data Analysis Toolbox (FSDA) in complex applications and for policy research is illustrated by the developers of the European Commission and the University of Parma.
Collaborative Robotics: Opportunities, Challenges, and Use Cases This talk provides an overview of the ongoing research on collaborative robotics at the Robotics and Intelligent Vehicles Research Laboratory (RIVeR Lab) at Northeastern University.
The Particular Nature of Molecular Information in Engineered Biochemical Communication Systems Define and characterize information flow in communication systems based on molecule exchange and biochemical reactions with the help of simulations realized through SimBiology.
Achieving Real-Time Robotics Control with MATLAB Use the HEBI Robotics API for MATLAB and execute robot control algorithms in real-time directly from MATLAB scripts.
Technology for a Planet in Balance National Geographic Engineers are tackling our planet's challenges with the help of MATLAB to create new platforms to explore, monitor, and tell the story of our planet's vital systems.
Smart City Pilot Projects Using LoRa and IEEE802.15.4 Technologies Measurement campaigns concerning the coverage of the LoRa technology in a real urban environment and description of a large-scale deployment of a smart lighting infrastructure in an Italian municipality.
Sensor Spoofing: Attacks, Consequences, and Countermeasures Design sensor fusion algorithms that are resilient to malicious attacks.
Data-Driven Robust Control of Insulin Therapy Design a controller for the artificial pancreas for closed-loop insulin therapy in Type-1 diabetes with data-driven methods for robustness to uncertain future meals. Evaluate the technique on virtual patient models using MATLAB.
A Reinforcement Learning Framework for Smart, Secure, and Efficient Cyber-Physical Autonomy A proactive defense control mechanism for maximizing system unpredictability by dynamic stochastic switching of attack surfaces while optimally controlling the system using a Q-learning framework.
New Trends in MEMS Design with Implications for Modeling and Simulation Learn about issues in increasing the use and value of data analytics in MEMS as well as methodologies, technologies, and software tools to overcome the challenges in creating MEMS based products.
Innovations Using Deep Learning by the MATLAB Community Learn about new MATLAB features for deep learning and how the MATLAB community is using deep learning to solve some of the most challenging problems in engineering and science.
Amazing New Developments in Medical Ultrasound This plenary talk describes recent innovations in medical ultrasound and ultrasound research, simulations, and research systems using MATLAB.
FINDER: Development, Test, Use FINDER is a portable radar used by first responders to detect motion and characterize signals to identify the heartbeats and respiration of trapped and buried disaster victims.
RF Communications and Sensing Convergence: Theory, Systems, and Experiments with MATLAB in the Loop Develop theory and system concepts for simultaneous radar and communications. Draw upon information and estimation theory to develop bounding performance. Employ experiments with MATLAB in the loop to demonstrate concepts.
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