Literature DB >> 15382826

An anatomical model of the gastric system for producing bioelectric and biomagnetic fields.

M L Buist1, L K Cheng, R Yassi, L A Bradshaw, W O Richards, A J Pullan.   

Abstract

Between 60 and 70 million people in the United States are affected by gastrointestinal disorders. Many of these conditions are difficult to assess without surgical intervention and accurate noninvasive techniques to aid in clinical assessment are needed. Through the use of a superconducting quantum interference device (SQUID) gradiometer, the weak magnetic field generated as a result of muscular activity in the digestive system can be measured. However, the interpretation of these magnetic recordings remains a significant challenge. We have created an anatomically realistic biophysically based mathematical model of the human digestive system and using this model normal gastric electrical control activity (ECA) has been simulated. The external magnetic fields associated with this gastric ECA have also been computed and are shown to be in qualitative agreement with recordings taken from normal individuals. The model framework thus provides a rational basis from which to begin interpreting magnetic recordings from normal and diseased individuals.

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Year:  2004        PMID: 15382826     DOI: 10.1088/0967-3334/25/4/006

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  16 in total

1.  Comparison and analysis of inter-subject variability of simulated magnetic activity generated from gastric electrical activity.

Authors:  Rié Komuro; Leo K Cheng; Andrew J Pullan
Journal:  Ann Biomed Eng       Date:  2008-03-11       Impact factor: 3.934

2.  Effects of volume conductor and source configuration on simulated magnetogastrograms.

Authors:  Rié Komuro; Wenlian Qiao; Andrew J Pullan; Leo K Cheng
Journal:  Phys Med Biol       Date:  2010-11-03       Impact factor: 3.609

3.  Telemetry system for slow wave measurement from the small bowel.

Authors:  S H Woo; J H Cho
Journal:  Med Biol Eng Comput       Date:  2009-12-29       Impact factor: 2.602

4.  Effects of electrical stimulation on isolated rodent gastric smooth muscle cells evaluated via a joint computational simulation and experimental approach.

Authors:  P Du; S Li; G O'Grady; L K Cheng; A J Pullan; J D Z Chen
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2009-08-06       Impact factor: 4.052

5.  Origin and propagation of human gastric slow-wave activity defined by high-resolution mapping.

Authors:  Gregory O'Grady; Peng Du; Leo K Cheng; John U Egbuji; Wim J E P Lammers; John A Windsor; Andrew J Pullan
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2010-07-01       Impact factor: 4.052

6.  Rapid high-amplitude circumferential slow wave propagation during normal gastric pacemaking and dysrhythmias.

Authors:  G O'Grady; P Du; N Paskaranandavadivel; T R Angeli; W J E P Lammers; S J Asirvatham; J A Windsor; G Farrugia; A J Pullan; L K Cheng
Journal:  Neurogastroenterol Motil       Date:  2012-07       Impact factor: 3.598

7.  Effects of body mass index on gastric slow wave: a magnetogastrographic study.

Authors:  S Somarajan; S Cassilly; C Obioha; W O Richards; L A Bradshaw
Journal:  Physiol Meas       Date:  2014-01-07       Impact factor: 2.833

Review 8.  Anatomically realistic multiscale models of normal and abnormal gastrointestinal electrical activity.

Authors:  Leo K Cheng; Rie Komuro; Travis M Austin; Martin L Buist; Andrew J Pullan
Journal:  World J Gastroenterol       Date:  2007-03-07       Impact factor: 5.742

9.  Noninvasive biomagnetic detection of isolated ischemic bowel segments.

Authors:  Suseela Somarajan; Summer Cassilly; Chibuike Obioha; L A Bradshaw; William O Richards
Journal:  IEEE Trans Biomed Eng       Date:  2013-01-15       Impact factor: 4.538

10.  Computational modeling for bedside application.

Authors:  Roy C P Kerckhoffs; Sanjiv M Narayan; Jeffrey H Omens; Lawrence J Mulligan; Andrew D McCulloch
Journal:  Heart Fail Clin       Date:  2008-07       Impact factor: 3.179

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