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Title: A Computational Investigation of Gastric Electrical Stimulation
Keywords: slow waves, interstitial cells of cajal, enteric nervous system, GI motility disorders, gastric electrical stimulation, gastric pacemaker
Issue Date: 17-Aug-2011
Citation: KANNAN AISHWARIYA (2011-08-17). A Computational Investigation of Gastric Electrical Stimulation. ScholarBank@NUS Repository.
Abstract: The intrinsic electrical activity (slow waves) and mechanical activity of the gastric musculature is a coordinated sequence of events influenced by interstitial cells of Cajal, smooth muscle cells and the enteric nervous system. These complex control mechanisms have been developed by the gastric musculature to perform the basic physiological functions of synchronized contraction and relaxation which is known as gastric motility. Disturbances at any level of the control mechanisms can result in number of GI motility disorders such as gastroparesis. Following the success of cardiac pacemakers, it was thought that injecting an electrical stimulus into the stomach?s wall (gastric electrical stimulation) may restore its motility. Gastric electrical stimulation (GES) is an alterative strategy attempting to alleviate gastroparetic and other gastric dysmotility symptoms by improving overall gastric motility. In this research project we have developed an electrophysiological model for gastric electrical stimulation based on realistic description of the interstitial cells of Cajal and smooth muscle cells. The physiological significance of single and multi channel GES along with their energy efficiency has been examined. Electrical parameter selection for different types of stimulus protocols that are currently employed in experimental GES have also been examined to achieve efficient and effective slow wave entrainment. This model allows the demonstration of normal gastric electrical activity as well as gastric dysrhythmia based on the underlying mechanisms and also provides a framework for predicting the energy requirements of the applied pacing parameters. We have integrated a large quantity of information from experimental GES ranging from various stimulus protocols to the number of channels used for delivering stimulus and have packed it succinctly into the developed GES model. This model allows us to manipulate the stimulus parameters for different types of gastric dysrhythmia and pave the way for the development of an effective and energy efficient gastric pacemaker.
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