Literature DB >> 9590406

Dynamics of the level of randomness in gastric electrical activity.

M P Mintchev1, A Stickel, K L Bowes.   

Abstract

This study was undertaken to investigate the dynamics of the level of randomness in gastric electrical signals. Combined recordings of internal gastric electrical activity (GEA) and electrogastrograms (EGG) were obtained from 16 unconscious dogs and two postoperative patients. The signals were amplified using specially designed amplifiers with flexible frequency range and were digitized with 10-Hz sampling frequency. The 4.27-min portions of the digital signals were subjected to a previously described turning point test for randomness. The distributions of the number of turning points (NTP) in successive time intervals calculated from all GEA signals were compared to the estimated NTP distribution of a random signal. NTP dynamics of internal GEA signals was also correlated to the NTP dynamics of cutaneous EGG. In five of 16 recordings from the dogs and in two of the 14 recordings from the patients, NTP values calculated from some internal GEA channels exceeded the 1% probability level for entering the normal NTP distribution of a random signal (P > 0.01). In all measurements the distributions of the NTP values recorded from cutaneous EGG channels were significantly different (P < 0.01) from the NTP distribution of a random signal. There was significant correlation (P < 0.01) between the NTP dynamics of internal GEA and EGG. The level of randomness in internal GEA recorded with the short-distance bipolar technique is substantially higher than that in cutaneous EGG, probably due to the occurrence of spike activity. Although the level of randomness in EGG is affected by many external factors, its dynamics correlated significantly with the level of randomness in internal GEA.

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Year:  1998        PMID: 9590406     DOI: 10.1023/a:1018858113172

Source DB:  PubMed          Journal:  Dig Dis Sci        ISSN: 0163-2116            Impact factor:   3.199


  7 in total

Review 1.  Biomedical signal processing (in four parts). Part 1. Time-domain methods.

Authors:  R E Challis; R I Kitney
Journal:  Med Biol Eng Comput       Date:  1990-11       Impact factor: 2.602

2.  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

3.  Impact of external factors on the stability of human electrogastrograms.

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

4.  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

Review 5.  Electrogastrography. Current assessment and future perspectives.

Authors:  T L Abell; J R Malagelada
Journal:  Dig Dis Sci       Date:  1988-08       Impact factor: 3.199

6.  Electrogastrography in healthy subjects. Evaluation of normal values, influence of age and gender.

Authors:  B Pfaffenbach; R J Adamek; K Kuhn; M Wegener
Journal:  Dig Dis Sci       Date:  1995-07       Impact factor: 3.199

7.  Accuracy of cutaneous recordings of gastric electrical activity.

Authors:  M P Mintchev; Y J Kingma; K L Bowes
Journal:  Gastroenterology       Date:  1993-05       Impact factor: 22.682

  7 in total
  1 in total

1.  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

  1 in total

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