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Biomimetic Closed-Loop Control of a Novel Soft Gastric Simulator Toward Emulating Antral Contraction Waves
Shahab Kazemi1, Ryman Hashem2, Martin Stommel3
1Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand.
Soft Robotics
|January 22, 2024
Summary
A new soft gastric simulator with closed-loop control accurately mimics stomach antral contraction waves (ACWs). This advanced biomimetic tool enhances digestion research and drug development by improving simulator accuracy and adaptability.
Area of Science:
- Biomimetics and Bioengineering
- Gastroenterology and Digestive System Research
- Control Systems and Robotics
Background:
- Soft gastric simulators are in vitro models replicating stomach antral contraction waves (ACWs).
- Traditional open-loop control systems limit simulator accuracy and adaptability to varying conditions.
- Closed-loop control is crucial for enhancing biomimetic simulators' performance.
Purpose of the Study:
- To design and fabricate a new generation of anatomically realistic soft pneumatic gastric simulators.
- To implement a real-time feedback system for diverse closed-loop controllers.
- To accurately imitate antral contraction waves (ACWs) for improved digestion studies.
Main Methods:
- Development of an anatomically realistic soft pneumatic gastric simulator representing the stomach antrum.
- Integration of a real-time feedback system and sensory mechanisms for closed-loop control.
- Design and application of three closed-loop controllers (model-based and model-free) to mimic ACWs.
Main Results:
- Successful fabrication and assembly of the advanced soft gastric simulator.
- Demonstration of effective ACW imitation using implemented closed-loop control strategies.
- Experimental outcomes show close resemblance to biological antral contractions.
Conclusions:
- The developed soft gastric simulator with closed-loop control is a reliable tool for digestion research.
- This biomimetic system advances the study of the human stomach and digestive processes.
- The methodology can be applied to develop other bioinspired and biomimetic applications.

