Literature DB >> 8295437

Electrogastrogram simulation using a three-dimensional model.

B Kothapalli1.   

Abstract

The recording of gastric electrical activity using cutaneous electrodes is known as electrogastrography, and the recorded electrogastrogram comprises the electrical control activity and the contraction-related electrical response activity. The electrogastrogram has been simulated using a three-dimensional model that takes the effect of inhomogeneities into consideration. The model reproduces the electrical control activity and the second component of the electrical response activity. Spike activity is not reproduced. The increase in amplitude towards the antrum and the phase coupling between various regions is reflected in the simulated electrogastrogram. There is a possibility of determining the velocity of propagation from the phase difference with electrodes located above the antrum.

Mesh:

Year:  1993        PMID: 8295437     DOI: 10.1007/BF02441983

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  10 in total

1.  Origin of changes in the epigastric impedance signal as determined by a three-dimensional model.

Authors:  B Kothapalli
Journal:  IEEE Trans Biomed Eng       Date:  1992-10       Impact factor: 4.538

2.  Multichannel adaptive enhancement of the electrogastrogram.

Authors:  J D Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  IEEE Trans Biomed Eng       Date:  1990-03       Impact factor: 4.538

3.  Model to simulate the gastric electrical control and response activity on the stomach wall and on the abdominal surface.

Authors:  N Mirizzi; R Stella; U Scafoglieri
Journal:  Med Biol Eng Comput       Date:  1986-03       Impact factor: 2.602

4.  Effect of barium meals on gastric electromechanical activity in man. A fluoroscopic-electrogastrographic study.

Authors:  K L Koch; W R Stewart; R M Stern
Journal:  Dig Dis Sci       Date:  1987-11       Impact factor: 3.199

5.  Effect of inhomogeneities on the apparent location and magnitude of a cardiac current dipole source.

Authors:  R M Arthur; D B Geselowitz
Journal:  IEEE Trans Biomed Eng       Date:  1970-04       Impact factor: 4.538

6.  Noninvasive assessment of human gastric motor function.

Authors:  B O Familoni; Y J Kingma; K L Bowes
Journal:  IEEE Trans Biomed Eng       Date:  1987-01       Impact factor: 4.538

7.  A comparison of finite element and integral equation formulations for the calculation of electrocardiographic potentials--II.

Authors:  T C Pilkington; M N Morrow; P C Stanley
Journal:  IEEE Trans Biomed Eng       Date:  1987-03       Impact factor: 4.538

8.  Potentials produced by arbitrary current sources in an infinite- and finite-length circular conducting cylinder.

Authors:  J P Cornelis; E H Nyssen
Journal:  IEEE Trans Biomed Eng       Date:  1985-12       Impact factor: 4.538

9.  What is measured in electrogastrography?

Authors:  A J Smout; E J van der Schee; J L Grashuis
Journal:  Dig Dis Sci       Date:  1980-03       Impact factor: 3.199

10.  Determining surface potentials from current dipoles, with application to electrocardiography.

Authors:  R C Barr; T C Pilkington; J P Boineau; M S Spach
Journal:  IEEE Trans Biomed Eng       Date:  1966-04       Impact factor: 4.538

  10 in total
  7 in total

1.  Volume conductor effects on the spatial resolution of magnetic fields and electric potentials from gastrointestinal electrical activity.

Authors:  L A Bradshaw; W O Richards; J P Wikswo
Journal:  Med Biol Eng Comput       Date:  2001-01       Impact factor: 2.602

2.  Extraction of gastric slow waves from electrogastrograms: combining independent component analysis and adaptive signal enhancement.

Authors:  H Liang
Journal:  Med Biol Eng Comput       Date:  2005-03       Impact factor: 2.602

3.  Theoretical and computational multiple regression study of gastric electrical activity using dipole tracing from magnetic field measurements.

Authors:  Andrei Irimia; John J Beauchamp; L Alan Bradshaw
Journal:  J Biol Phys       Date:  2004-09       Impact factor: 1.365

Review 4.  Gastrointestinal system.

Authors:  Leo K Cheng; Gregory O'Grady; Peng Du; John U Egbuji; John A Windsor; Andrew J Pullan
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2010 Jan-Feb

5.  What can be measured from surface electrogastrography. Computer simulations.

Authors:  J Liang; J D Chen
Journal:  Dig Dis Sci       Date:  1997-07       Impact factor: 3.199

6.  Diabetic gastroparesis alters the biomagnetic signature of the gastric slow wave.

Authors:  L A Bradshaw; L K Cheng; E Chung; C B Obioha; J C Erickson; B L Gorman; S Somarajan; W O Richards
Journal:  Neurogastroenterol Motil       Date:  2016-02-03       Impact factor: 3.598

7.  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

  7 in total

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