Analysis of canine model of gastric electrical uncoupling using recurrence quantification analysis.
This study reports the results of recurrence quantification analysis (RQA) applied to internal gastric electrical activity (GEA) and cutaneous electrogastrographic (EGG) digital recordings obtained from acute canine models. The purpose of this chaos analysis is to differentiate three states--normal, mild, and severe induced electrical uncoupling--utilizing five quantities associated with RQA: percent recurrence, percent determinism, maximum deterministic line, entropy, and trend. The results indicate that percent recurrence and trend are the only quantities that relate the three states of gastric electrical uncoupling in any meaningful way. The ability of EGG to detect mild electrical uncoupling in the stomach appears to be limited due to the impact of numerous external factors on the signals, even if multichannel recordings are utilized.
Price
C Newton
CN
Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada T2N 1N4.
Westwick
D T
DT
Mintchev
M P
MP
D000818:Animals; D004195:Disease Models, Animal; D004285:Dogs; D004558:Electric Stimulation; D004576:Electromyography; D004594:Electrophysiology; D005769:Gastrointestinal Motility / Q000502:physiology*; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted; D016008:Statistical Distributions; D013272:Stomach Diseases / Q000503:physiopathology*