Why the study?
Efficient and accurate organ models are crucial for closed-loop validation of implantable medical devices, including validating and verifying gastric electrical stimulators prior to implantation.
Effect estimate: correlation ≈ 0.9
The proposed HIOA model provides an efficient and scalable method for simulating gastric slow wave activity, which may aid in the future validation of implantable gastric electrical stimulators.
OBJECTIVE: Efficient and accurate organ models are crucial for closed-loop validation of implantable medical devices. This paper investigates bio-electric slow wave modeling of the stomach, so that gastric electrical stimulator (GES) can be validated and verified prior to implantation. In particular, we consider high-fidelity, scalable, and efficient modeling of the pacemaker, Interstitial cells of Cajal (ICC), based on the formal hybrid input output automata (HIOA) framework. METHODS: Our work is founded in formal methods, a collection of mathematically sound techniques originating in computer science for the design and validation of safety-critical systems. We modeled each ICC cell using an HIOA. We also introduce an HIOA path model to capture the electrical propagation delay between cells in a network. The resultant network of ICC cells can simulate normal and diseased action potential propagation patterns, making it useful for device validation. RESULTS: The simulated slow wave of a single ICC cell had high correlation ( ≈ 0.9) with the corresponding biophysical models. CONCLUSIONS: The proposed model is able to simulate the slow wave activity of a network of ICC cells with high-fidelity for device validation. SIGNIFICANCE: The proposed HIOA model is significantly more efficient than the corresponding biophysical models, scales to larger networks of ICC cells, and is capable of simulating varying propagation patterns. This has the potential to enable verification and validation of implantable GESs in closed-loop with gastrointestinal models in the future.
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Wang et al. (2019) studied Gastric electrophysiology modeling. Hybrid input output automata (HIOA) modeling vs. Biophysical models was evaluated on Correlation of simulated slow wave with biophysical models (correlation ≈ 0.9).
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