A framework for the design of a closed-loop gastric pacemaker for treating conduction block

Area of Science:

• Biomedical Engineering
• Gastroenterology
• Computational Modeling

Background:

• Gastrointestinal (GI) motility disorders significantly impair quality of life.
• Current open-loop gastric electrical stimulation (GES) is suboptimal for treating these disorders.
• Closed-loop systems sensing intracellular potentials are effective but not viable in vivo.

Purpose of the Study:

• To develop a closed-loop GES that senses extracellular potentials for pacing.
• To modulate dysrhythmic GI motility patterns using real-time closed-loop control.
• To present a GES design framework including extracellular potential generation, sensing, and closed-loop actuation.

Main Methods:

• Utilized a high-fidelity two-dimensional Interstitial Cells of Cajal (ICC) network model.
• Integrated an extracellular potential generation model with the GES in a closed-loop system.
• Developed real-time pacing algorithms processing sensed extracellular potentials to detect and rectify bradygastric rhythms.

Main Results:

• The proposed GES model successfully sensed and processed noisy extracellular potentials.
• The system effectively detected bradygastric patterns.
• Slow wave activities were modulated to normal propagation patterns.

Conclusions:

• A closed-loop GES design was developed and validated using an ICC network model.
• The GES is applicable in experimental and clinical settings.
• The model effectively modulated various bradygastric patterns, including conduction block.