Literature DB >> 18200451

Mapping slow waves and spikes in chronically instrumented conscious dogs: automated on-line electrogram analysis.

Wim J E P Lammers1, B Michiels, J Voeten, L Ver Donck, J A J Schuurkes.   

Abstract

Myoelectric recordings from the gastrointestinal (GI) tract in conscious animals have been limited in duration and site. Recently, we have implanted 24 electrodes and obtained electrograms from these sites simultaneously (200 Hz sampling rate; 1.1 MB/min data stream). An automated electrogram analysis was developed to process this large amount of data. Myoelectrical recordings from the GI tract often consist of slow wave deflections followed by one or more action potentials (=spike deflections) in the same traces. To analyze these signals, a first module separates the signal into one containing only slow waves and a second one containing only spikes. The timings of these waveforms were then detected, in real time, for all 24 electrograms, in a separate slow wave detection module and a separate spike-detection module. Basic statistics such as timing and amplitudes and the number of spikes per slow wave were performed and displayed on-line. In summary, with this online analysis, it is possible to study for long periods of time and under various experimental conditions major components of gastrointestinal motility.

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Year:  2008        PMID: 18200451     DOI: 10.1007/s11517-007-0294-7

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


  22 in total

1.  Time-frequency methods for detecting spike activity of stomach.

Authors:  A Akin; H H Sun
Journal:  Med Biol Eng Comput       Date:  1999-05       Impact factor: 2.602

2.  Spatial determination of successive spikes in the isolated cat duodenum.

Authors:  W J E P Lammers; C Faes; B Stephen; L Bijnens; L Ver Donck; J A J Schuurkes
Journal:  Neurogastroenterol Motil       Date:  2004-12       Impact factor: 3.598

3.  High resolution electrical mapping in the gastrointestinal system: initial results.

Authors:  W J Lammers; B Stephen; K Arafat; G W Manefield
Journal:  Neurogastroenterol Motil       Date:  1996-09       Impact factor: 3.598

4.  Electrical activity of the cat duodenum in fasting and vomiting.

Authors:  N W Weisbrodt; J Christensen
Journal:  Gastroenterology       Date:  1972-12       Impact factor: 22.682

5.  Computerised method for pattern recognition of intestinal motility: functional significance of the spread of contractions.

Authors:  M Schemann; H J Ehrlein; H Sahyoun
Journal:  Med Biol Eng Comput       Date:  1985-03       Impact factor: 2.602

6.  Computerized analysis of spike-burst activity of the upper gastrointestinal tract.

Authors:  W J Groh; I Takahashi; S Sarna; W J Dodds; W J Hogan
Journal:  Dig Dis Sci       Date:  1984-05       Impact factor: 3.199

7.  Chronic electrical activity of cat intestine.

Authors:  A Bortoff; L F Sillin; A Sterns
Journal:  Am J Physiol       Date:  1984-04

8.  Analogue automated analysis of small intestinal electromyogram.

Authors:  F Crenner; A Lambert; F Angel; J C Schang; J F Grenier
Journal:  Med Biol Eng Comput       Date:  1982-03       Impact factor: 2.602

9.  An algorithm for the detection of peaks in biological signals.

Authors:  S R Dumpala; S N Reddy; S K Sarna
Journal:  Comput Programs Biomed       Date:  1982-06

10.  Computerized analysis of spike burst activity in the small intestine.

Authors:  R W Summers; J Cramer; A J Flatt
Journal:  IEEE Trans Biomed Eng       Date:  1982-05       Impact factor: 4.538

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  11 in total

1.  Automated gastric slow wave cycle partitioning and visualization for high-resolution activation time maps.

Authors:  Jonathan C Erickson; Greg O'Grady; Peng Du; John U Egbuji; Andrew J Pullan; Leo K Cheng
Journal:  Ann Biomed Eng       Date:  2010-10-07       Impact factor: 3.934

2.  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

3.  A system and method for online high-resolution mapping of gastric slow-wave activity.

Authors:  Simon H Bull; Gregory O'Grady; Peng Du; Leo K Cheng
Journal:  IEEE Trans Biomed Eng       Date:  2014-05-20       Impact factor: 4.538

4.  Falling-edge, variable threshold (FEVT) method for the automated detection of gastric slow wave events in high-resolution serosal electrode recordings.

Authors:  Jonathan C Erickson; Gregory O'Grady; Peng Du; Chibuike Obioha; Wenlian Qiao; William O Richards; L Alan Bradshaw; Andrew J Pullan; Leo K Cheng
Journal:  Ann Biomed Eng       Date:  2009-12-19       Impact factor: 3.934

5.  A miniature bidirectional telemetry system for in vivo gastric slow wave recordings.

Authors:  Aydin Farajidavar; Gregory O'Grady; Smitha M N Rao; Leo K Cheng; Thomas Abell; J-C Chiao
Journal:  Physiol Meas       Date:  2012-06       Impact factor: 2.833

6.  Automated detection of gastric slow wave events and estimation of propagation velocity vector fields from serosal high-resolution mapping.

Authors:  Peng Du; Wenlian Qiao; Greg O'Grady; John U Egbuji; Wim Lammers; Leo K Cheng; Andrew J Pullan
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

7.  Automated algorithm for GI spike burst detection and demonstration of efficacy in ischemic small intestine.

Authors:  Jonathan C Erickson; Raisa Velasco-Castedo; Chibuike Obioha; Leo K Cheng; Timothy R Angeli; Greg O'Grady
Journal:  Ann Biomed Eng       Date:  2013-04-24       Impact factor: 3.934

8.  Iterative Covariance-Based Removal of Time-Synchronous Artifacts: Application to Gastrointestinal Electrical Recordings.

Authors:  Jonathan C Erickson; Joy Putney; Douglas Hilbert; Niranchan Paskaranandavadivel; Leo K Cheng; Greg O'Grady; Timothy R Angeli
Journal:  IEEE Trans Biomed Eng       Date:  2016-01-26       Impact factor: 4.538

9.  Experimental and Automated Analysis Techniques for High-resolution Electrical Mapping of Small Intestine Slow Wave Activity.

Authors:  Timothy R Angeli; Gregory O'Grady; Niranchan Paskaranandavadivel; Jonathan C Erickson; Peng Du; Andrew J Pullan; Ian P Bissett; Leo K Cheng
Journal:  J Neurogastroenterol Motil       Date:  2013-04-16       Impact factor: 4.924

Review 10.  Progress in Mathematical Modeling of Gastrointestinal Slow Wave Abnormalities.

Authors:  Peng Du; Stefan Calder; Timothy R Angeli; Shameer Sathar; Niranchan Paskaranandavadivel; Gregory O'Grady; Leo K Cheng
Journal:  Front Physiol       Date:  2018-01-15       Impact factor: 4.566

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