Next generation real-time heart models for closed-loop design and testing of medical devices
Eligible for funding* | PhD
An abstracted human heart computer model has been developed simulating key features of electrical activity in healthy and unhealthy hearts in real-time or faster. Unlike other work in this space, this model was designed to generate heart-rate-dependent signal features that are important indicators of arrhythmia in heart diseases. Electrical signals from the model are interpreted by a connected medical device, and the model responds to the electrical signals generated by the device. The model acts in a closed loop with the device, and it has been used to show how the programmed settings in a pacemaker can drive a heart into an arrhythmia.
We propose a next-generation model:
- Introducing new disease, pharmacological and physiological features
- Designing an intuitive process for parameterising and altering features
- Quantifying the performance of the model across computer platforms
- Expanding an autonomous device testing pipeline
- Investigating the inclusion of motion during the cardiac pumping cycle
This project collaborates with MathWorks Inc. and their Medical Devices team. The vision is a next-generation model adopted for design and testing by medical device companies and one that can become a candidate for consideration as an FDA Medical Device Development Tool.
Desired skills
- Applied and computational mathematics, modeling, programming languages, demonstrated written and oral communication skills.
Contact and supervisors
Eligible for funding*
This project is eligible for funding but is subject to eligibility criteria & funding availability.
Page expires: 13 March 2025