Literature DB >> 19963493

Detailed measurements of gastric electrical activity and their implications on inverse solutions.

Leo K Cheng1, Greg O'Grady, Peng Du, John U Egbuji, John A Windsor, Andrew J Pullan.   

Abstract

Significant research effort has been expended on investigating methods to non-invasively characterize gastrointestinal electrical activity. Despite the clinical success of the 12-lead electrocardiograms (ECG) and the emerging success of inverse methods for characterizing electrical activity of the heart and brain, similar methods have not been successfully transferred to the gastrointestinal field. The normal human stomach generates rhythmic electrical impulses, known as slow waves, that propagate within the stomach at a frequency of 3 cycles per minute. Disturbances in this activity are known to result in disorders in the motility patterns of the stomach. However, there is still limited understanding regarding the basic characteristics of the electrical propagation in the stomach. Contrary to existing beliefs, recent results from high resolution recordings of gastric electrical activity have shown that multiple waves, complete with depolarization and repolarization fronts, can be simultaneously present at any given time in the human stomach. In addition, it has been shown that there are marked variations in the amplitude and velocities in different regions in the stomach. In human recordings, the antrum had slow waves with significantly higher amplitudes and velocities than the corpus. Due to the presence of multiple slow wave events, single and multiple dipole-type inverse methods are not appropriate and distributed source models must therefore be considered. Furthermore, gastric electrical waves move significantly slower than electrical waves in the heart, and it is currently difficult to obtain structural images of the stomach at the same time as surface electrical or magnetic gastric recordings are made. This further complicates the application of inverse procedures for gastric electrical imaging.

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Year:  2009        PMID: 19963493      PMCID: PMC4076344          DOI: 10.1109/IEMBS.2009.5332587

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  17 in total

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  4 in total

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Authors:  Peng Du; Greg O'Grady; John B Davidson; Leo K Cheng; Andrew J Pullan
Journal:  Crit Rev Biomed Eng       Date:  2010

2.  Characterization of gastric electrical activity using magnetic field measurements: a simulation study.

Authors:  J H K Kim; L A Bradshaw; A J Pullan; L K Cheng
Journal:  Ann Biomed Eng       Date:  2009-09-23       Impact factor: 3.934

3.  Bayesian inverse methods for spatiotemporal characterization of gastric electrical activity from cutaneous multi-electrode recordings.

Authors:  Alexis B Allegra; Armen A Gharibans; Gabriel E Schamberg; David C Kunkel; Todd P Coleman
Journal:  PLoS One       Date:  2019-10-14       Impact factor: 3.240

4.  Polygonally Meshed Dipole Model Simulation of the Electrical Field Produced by the Stomach and Intestines.

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Journal:  Comput Math Methods Med       Date:  2020-10-21       Impact factor: 2.238

  4 in total

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