Detailed measurements of gastric electrical activity and their implications on inverse solutions.
Significant research effort has been expended on investigating methods to non-invasively characterize gastrointestinal electrical activity. Despite the clinical success of the 12-lead electrocardiograms (ECG) and the emerging success of inverse methods for characterizing electrical activity of the heart and brain, similar methods have not been successfully transferred to the gastrointestinal field. The normal human stomach generates rhythmic electrical impulses, known as slow waves, that propagate within the stomach at a frequency of 3 cycles per minute. Disturbances in this activity are known to result in disorders in the motility patterns of the stomach. However, there is still limited understanding regarding the basic characteristics of the electrical propagation in the stomach. Contrary to existing beliefs, recent results from high resolution recordings of gastric electrical activity have shown that multiple waves, complete with depolarization and repolarization fronts, can be simultaneously present at any given time in the human stomach. In addition, it has been shown that there are marked variations in the amplitude and velocities in different regions in the stomach. In human recordings, the antrum had slow waves with significantly higher amplitudes and velocities than the corpus. Due to the presence of multiple slow wave events, single and multiple dipole-type inverse methods are not appropriate and distributed source models must therefore be considered. Furthermore, gastric electrical waves move significantly slower than electrical waves in the heart, and it is currently difficult to obtain structural images of the stomach at the same time as surface electrical or magnetic gastric recordings are made. This further complicates the application of inverse procedures for gastric electrical imaging.
Cheng
Leo K
LK
Auckland Bioengineering Institute, The University of Auckland, New Zealand. l.cheng@auckland.ac.nz
O'Grady
Greg
G
Du
Peng
P
Egbuji
John U
JU
Windsor
John A
JA
Pullan
Andrew J
AJ
D001698:Biomedical Engineering; D004566:Electrodes; D055724:Electrophysiological Phenomena; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D013270:Stomach / Q000502:physiology*