Code generation and rapid-prototyping in medical device development
|Event Type||Start Time||End Time|
|Webex||31 May 2022 - 10:00 CEST||31 May 2022 - 11:00 CEST|
How do you design and test your complex medical devices? Can you reduce the development time without having to manually write code and iterate over multiple hardware prototypes? How can you perform system-level testing using code generation and real-time hardware?
In order to find the answers to all these questions, join us in this live webinar to discover how medical device companies are using rapid prototyping to accelerate their R&D efforts. You will learn how modeling, simulation, code generation and real-time testing of embedded software can help accelerate your medical device development and identify design errors earlier in the development process. Our experts will present real world use cases and answer your technical questions.
- Generate code automatically targeting MCUs, DSPs and FPGAs
- Leveraging hardware-in-the-loop testing for rapid prototyping
- Accelerating development cycle with real-time hardware
- Performing system level testing while improving the design
Who Should Attend
- Project Management
- Software and Hardware Engineering
- Quality Engineering
- Testing and Verification
About the Presenter
Tadele Shiferaw is an application engineer at MathWorks Benelux based in Eindhoven. He works with customers in different industries in identifying technical requirements and assisting them towards leveraging the full potential of Model-Based Design in their workflows. His focus areas include physical modeling of systems, controller design, systems engineering and hardware-in-the loop simulations. Tadele completed a graduate study in control systems and a Ph.D. on controller design for safe robotic manipulation at University of Twente in Enschede, Netherlands.
Conrado Ramirez Garcia is an application engineer at MathWorks Germany based in Munich. He works with customers of different areas including machine builders, industrial robotics, wind turbines, automation, and energy production. His focus area includes the code generation for embedded devices and industrial controllers. Conrado holds a master’s degree on Power Engineering from the Technische Universität München.
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