Literature DB >> 11211205

Real-time display of the stomach slow wave and its parameters in a newly designed electrogastrographic system.

F Y Chang1, C L Lu, C Y Chen, S D Lee, S T Young, H C Wu, T S Kuo.   

Abstract

We designed a new three-channel electrogastrographic (EGG) system, which was easily operated on the Windows 95 platform and could automatically provide slow wave parameters. The purpose of the present study was to test its reliability and accuracy in clinical recording. The system included a signal acquisition device assembled on a printed circuit board. Recorded myoelectrical signals were filtered, amplified, digitized, and transmitted via this device into a notebook personal computer (PC). Based on the short-term Fourier transform the software could transfer the time domain of the signal into the frequency domain. Real-time displayed slow wave parameters, including dominant frequency/power, percent of normal frequency (2-4 cpm), instability coefficient in frequency/power, and power ratio, were automatically renewed every 64s. Twenty healthy subjects (M/F, 12/8; age, 23-51 years) were enrolled to measure both fast and postprandial myoelectrical activities for each 30-min recording. Our results indicated that meal ingestion significantly increased dominant frequency (3.15+/-0.20 vs 3.23+/-0.23 cpm; P < 0.05) and power (26.1+/-3.8 vs 28.4+/-3.9 dB; P < 0.05). The power ratio of the meal effect was 2.02+/-2.07. Other parameters, including instability coefficient and percent of normal frequency, remained similar despite food ingestion. This newly designed EGG system is acceptable for clinically measuring gastric myoelectrical activity; the real-time display of many EGG parameters is an advantage with this new system.

Mesh:

Year:  2001        PMID: 11211205     DOI: 10.1007/s005350170148

Source DB:  PubMed          Journal:  J Gastroenterol        ISSN: 0944-1174            Impact factor:   7.527


  2 in total

1.  Reconstruction of multiple gastric electrical wave fronts using potential-based inverse methods.

Authors:  J H K Kim; A J Pullan; L K Cheng
Journal:  Phys Med Biol       Date:  2012-07-27       Impact factor: 3.609

2.  Reconstruction of normal and abnormal gastric electrical sources using a potential based inverse method.

Authors:  J H K Kim; P Du; L K Cheng
Journal:  Physiol Meas       Date:  2013-09       Impact factor: 2.833

  2 in total

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