Arterial blood pressure is a crucial indicator for cardiac conditions like hypertension,
heart failure, strokes and limb ischemia. Current wireless devices diagnose heart failure
through blood pressure measurement. Developing such implantable sensors requires
meticulous fine-tuning, and acute chronic animal testing before clinical trials. To reduce
the number of animals required in pre-clinical trials during this fine-tuning phase,
accessible circulatory flow simulator mockups are used. However, ...
Arterial blood pressure is a crucial indicator for cardiac conditions like hypertension,
heart failure, strokes and limb ischemia. Current wireless devices diagnose heart failure
through blood pressure measurement. Developing such implantable sensors requires
meticulous fine-tuning, and acute chronic animal testing before clinical trials. To reduce
the number of animals required in pre-clinical trials during this fine-tuning phase,
accessible circulatory flow simulator mockups are used. However, existing designs are
costly or use materials that are not commercially available. This study aims to develop an
adaptable mockup for the development of an intravascular sensor. The in vitro mockup
generates customizable flows, tests movement and migration due to the fluid’s flow, and
enables the evaluation of different wireless power transfer and communications methods
as volume conduction. It produces physiologically expected pressure values that have
been obtained from intravascular sensors. The mockup will be designed as an open-access
tool that includes commercially available materials and electronic parts. The
methodology involves literature review, creating flow simulations, and developing and
integrating hydraulic and electronic circuits, Arduino code, and a user interface. Results
are validated by comparing built-in sensor measurements, tested sensor results, and flow
simulations. The expected outcomes are a robust, user-friendly model that allows
parameter modifications, generates real-time graphs, and exports pressure data in CSV
format. The built-in sensors will correspond to physiological pressure values, and the
tested intravascular sensor will seamlessly integrate with the mockup, resulting in a
flexible and open-access tool for fine-tuning these devices.
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