MATLAB | Developing, Verifying, and Validating IEC 62304 Compliant Code with MATLAB @MATLAB | Uploaded January 2024 | Updated October 2024, 1 week ago.
Any algorithms built for safety-critical applications for medical devices require verification and validation (V&V). Rigorous testing methods are useful not only to ensure the quality of the algorithms developed, but also to help generate the artifacts required by the FDA for IEC 62304 certification.
In this video, we'll use a case study from an AI-enabled wearable ECG monitoring device to present a V&V framework that can be applied to any algorithms built in MATLAB, and the incremental value that can be achieved to accelerate your time to market.
Specific topics include:
- Introduction to systematic testing and the MATLAB test framework
- Establishing test-driven development workflows with interactive test authoring, execution, and management tools
- Measuring and optimizing code coverage
- Analyzing code quality and project-level health
- How to perform equivalence testing with generated C/C++ or deployed software components
- Tracking requirements and generating artifacts in support of certified workflows
- Automating MATLAB tests, artifact generation, and deployment in CI/CD systems, e.g. Azure DevOps
Chapters:
00:00 – Introduction
01:20 – Why testing code earlier matters
03:33 – How to avoid redundant work code and testing
06:35 – What is MATLAB Test
10:44 – What is equivalence testing?
11:47 – Overview of IEC/ISO certification for mission-critical code
14:41 – MATLAB Test in action
19:35 – Managing requirements with the Requirements Editor
22:40 – Introduction to unit testing with MATLAB
28:53 – Managing unit test suites with MATLAB Test
34:19 – Uncovering edge cases with code coverage analysis
39:35 – How to test MATLAB and C++ code for equivalence
45:11 – Testing generated C++ code on NVIDIA Jetson boards
47:36 – Tracking changes and certification kits
49:50 – Takeaways from MATLAB Test demo
50:39 – Summary and conclusions
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© 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Any algorithms built for safety-critical applications for medical devices require verification and validation (V&V). Rigorous testing methods are useful not only to ensure the quality of the algorithms developed, but also to help generate the artifacts required by the FDA for IEC 62304 certification.
In this video, we'll use a case study from an AI-enabled wearable ECG monitoring device to present a V&V framework that can be applied to any algorithms built in MATLAB, and the incremental value that can be achieved to accelerate your time to market.
Specific topics include:
- Introduction to systematic testing and the MATLAB test framework
- Establishing test-driven development workflows with interactive test authoring, execution, and management tools
- Measuring and optimizing code coverage
- Analyzing code quality and project-level health
- How to perform equivalence testing with generated C/C++ or deployed software components
- Tracking requirements and generating artifacts in support of certified workflows
- Automating MATLAB tests, artifact generation, and deployment in CI/CD systems, e.g. Azure DevOps
Chapters:
00:00 – Introduction
01:20 – Why testing code earlier matters
03:33 – How to avoid redundant work code and testing
06:35 – What is MATLAB Test
10:44 – What is equivalence testing?
11:47 – Overview of IEC/ISO certification for mission-critical code
14:41 – MATLAB Test in action
19:35 – Managing requirements with the Requirements Editor
22:40 – Introduction to unit testing with MATLAB
28:53 – Managing unit test suites with MATLAB Test
34:19 – Uncovering edge cases with code coverage analysis
39:35 – How to test MATLAB and C++ code for equivalence
45:11 – Testing generated C++ code on NVIDIA Jetson boards
47:36 – Tracking changes and certification kits
49:50 – Takeaways from MATLAB Test demo
50:39 – Summary and conclusions
--------------------------------------------------------------------------------------------------------
Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2023 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
