Literature DB >> 17685154

Analysis of the electrogastrogram using discrete wavelet transform and statistical methods to detect gastric dysrhythmia.

Mahmut Tokmakçi1.   

Abstract

Electrogastrography (EGG) is a method of recording stomach electrical activity from cutaneous electrodes placed on the abdominal surface. Compared with other electrophysiological measurements, such as electrocardiography, the progress of the applicability of the EGG has been very slow. Unlike imaging or manometrical studies, stomach motility disorders are not diagnosed based only on abnormal EGG parameters. Limitations of EGG recording, processing, computation, acceptable normal parameters, technique and reading should be known to conduct subjective assessments when EGG is used to resolve stomach dysfunction. Therefore appropriate application of non-invasive EGG should go on providing more information and insight in understanding these limitations. And so the aim of this study were to contribute the evolution of the EGG to enter the clinical world as a routine check-up method and to develop new time-frequency analysis method for the detection of gastric dysrhythmia from the EGG.

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Year:  2007        PMID: 17685154     DOI: 10.1007/s10916-007-9069-9

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  18 in total

1.  Micro-emboli detection: an ultrasound Doppler signal processing viewpoint.

Authors:  J M Girault; D Kouamé; A Ouahabi; F Patat
Journal:  IEEE Trans Biomed Eng       Date:  2000-11       Impact factor: 4.538

2.  Estimation of wavelet and short-time Fourier transform sonograms of normal and diabetic subjects' electrogastrogram.

Authors:  Fatma Dirgenali; Sadik Kara; Sükrü Okkesim
Journal:  Comput Biol Med       Date:  2005-11-02       Impact factor: 4.589

3.  Analysis of canine model of gastric electrical uncoupling using recurrence quantification analysis.

Authors:  C Newton Price; D T Westwick; M P Mintchev
Journal:  Dig Dis Sci       Date:  2005-05       Impact factor: 3.199

4.  Can transcutaneous recordings detect gastric electrical abnormalities?

Authors:  B O Familoni; K L Bowes; Y J Kingma; K R Cote
Journal:  Gut       Date:  1991-02       Impact factor: 23.059

5.  Gastric myoelectric activity in older adults treated with cisapride for gastro-oesophageal reflux disease.

Authors:  W C Orr; M Zhang; J McClanahan; S Sloan; J D Chen
Journal:  Aliment Pharmacol Ther       Date:  2000-03       Impact factor: 8.171

6.  Spectral analysis of tachygastria recorded during motion sickness.

Authors:  R M Stern; K L Koch; W R Stewart; I M Lindblad
Journal:  Gastroenterology       Date:  1987-01       Impact factor: 22.682

7.  Use of spectral analysis in the detection of frequency differences in the electrogastrograms of normal and diabetic subjects.

Authors:  C J Pfister; J W Hamilton; N Nagel; P Bass; J G Webster; W J Tompkins
Journal:  IEEE Trans Biomed Eng       Date:  1988-11       Impact factor: 4.538

8.  Abnormalities of the electrogastrogram in functional gastrointestinal disorders.

Authors:  A Leahy; K Besherdas; C Clayman; I Mason; O Epstein
Journal:  Am J Gastroenterol       Date:  1999-04       Impact factor: 10.864

9.  Gastric myoelectrical activity, gastric emptying, and correlations with symptoms and fasting blood glucose levels in diabetic patients.

Authors:  I Soykan; Z Lin; I Sarosiek; R W McCallum
Journal:  Am J Med Sci       Date:  1999-04       Impact factor: 2.378

10.  Hyperglycemia induces abnormalities of gastric myoelectrical activity in patients with type I diabetes mellitus.

Authors:  R J Jebbink; M Samsom; P P Bruijs; B Bravenboer; L M Akkermans; G P Vanberge-Henegouwen; A J Smout
Journal:  Gastroenterology       Date:  1994-11       Impact factor: 22.682

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  2 in total

1.  The Use of Continuous Wavelet Transform Based on the Fast Fourier Transform in the Analysis of Multi-channel Electrogastrography Recordings.

Authors:  Dariusz Komorowski; Stanislaw Pietraszek
Journal:  J Med Syst       Date:  2015-10-29       Impact factor: 4.460

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

Authors:  Masaki Kawano; Takahiro Emoto
Journal:  Comput Math Methods Med       Date:  2020-10-21       Impact factor: 2.238

  2 in total

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