Literature DB >> 2622237

Observation of the propagation direction of human electrogastric activity from cutaneous recordings.

J Chen, J Vandewalle, W Sansen, E van Cutsem, G Vantrappen, J Janssens.   

Abstract

Electrogastric signals have been successfully measured both intraluminally and cutaneously. Although it has been claimed by several researchers that the propagation direction of the electrogastric activities cannot be observed from cutaneous recordings, it is the aim of the paper to show that it is feasible. The reason why the propagation direction has never been observed from cutaneous recordings is that the reported methods for the abdominal measurements are not adequate. In the paper it is pointed out that the stomach should be localised before the measurement and the electrodes should be attached along the longitudinal axis of the stomach.

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Year:  1989        PMID: 2622237     DOI: 10.1007/bf02441475

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


  11 in total

1.  Intestinal smooth muscle electrical potentials recorded from surface electrodes.

Authors:  B H Brown; R H Smallwood; H L Duthie; C J Stoddard
Journal:  Med Biol Eng       Date:  1975-01

2.  Adaptive method for cancellation of respiratory artefact in electrogastric measurements.

Authors:  J Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  Med Biol Eng Comput       Date:  1989-01       Impact factor: 2.602

3.  Study of transcutaneous and intraluminal measurement of gastric electrical activity in humans.

Authors:  B O Familoni; Y J Kingma; K L Bowes
Journal:  Med Biol Eng Comput       Date:  1987-07       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.  Running spectrum analysis as an aid in the representation and interpretation of electrogastrographic signals.

Authors:  E J van der Schee; J L Grashuis
Journal:  Med Biol Eng Comput       Date:  1987-01       Impact factor: 2.602

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.  Electrogastrography in the dog: waveform analysis by a coherent averaging technique.

Authors:  A C Volkers; E J van der Schee; J L Grashuis
Journal:  Med Biol Eng Comput       Date:  1983-01       Impact factor: 2.602

8.  An improved method for recording and analyzing the electrical activity of the human stomach.

Authors:  B E Bellahsene; J W Hamilton; J G Webster; P Bass; M Reichelderfer
Journal:  IEEE Trans Biomed Eng       Date:  1985-11       Impact factor: 4.538

9.  Adaptive filtering of canine electrogastrographic signals. Part 1: system design.

Authors:  M A Kentie; E J van der Schee; J L Grashuis; A J Smout
Journal:  Med Biol Eng Comput       Date:  1981-11       Impact factor: 2.602

10.  Contraction-related, low-frequency components in canine electrogastrographic signals.

Authors:  E J van der Schee; J L Grashuis
Journal:  Am J Physiol       Date:  1983-10
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  14 in total

1.  Multichannel electrogastrography (EGG) in normal subjects: a multicenter study.

Authors:  Hrair P Simonian; Kashyap Panganamamula; Henry P Parkman; Xiaohong Xu; Jiande Z Chen; Greger Lindberg; Hui Xu; Chi Shao; Mei-Yun Ke; Michael Lykke; Per Hansen; Bjorn Barner; Henrik Buhl
Journal:  Dig Dis Sci       Date:  2004-04       Impact factor: 3.199

Review 2.  Electrogastrography: measurement, analysis and prospective applications.

Authors:  J Chen; R W McCallum
Journal:  Med Biol Eng Comput       Date:  1991-07       Impact factor: 2.602

3.  Adaptive spectral analysis of cutaneous electrogastric signals using autoregressive moving average modelling.

Authors:  J Chen; J Vandewalle; W Sansen; G Vantrappen; J Janssens
Journal:  Med Biol Eng Comput       Date:  1990-11       Impact factor: 2.602

4.  A multiscale model of the electrophysiological basis of the human electrogastrogram.

Authors:  Peng Du; Gregory O'Grady; Leo K Cheng; Andrew J Pullan
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

5.  Conoidal dipole model of electrical field produced by the human stomach.

Authors:  M P Mintchev; K L Bowes
Journal:  Med Biol Eng Comput       Date:  1995-03       Impact factor: 2.602

6.  Extracting quantitative information from digital electrogastrograms.

Authors:  M P Mintchev; K L Bowes
Journal:  Med Biol Eng Comput       Date:  1996-05       Impact factor: 2.602

7.  Dynamics of level of randomness of electrogastrograms can be indicative of gastric electrical uncoupling in dogs.

Authors:  C P Sanmiguel; M P Mintchev; K L Bowes
Journal:  Dig Dis Sci       Date:  1999-03       Impact factor: 3.199

8.  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

9.  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

10.  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

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