A Theoretical Analysis of Electrogastrography (EGG) Signatures Associated With Gastric Dysrhythmias
| Autor: | Leo K. Cheng, Stefan Calder, Greg O'Grady, Peng Du |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
medicine.medical_specialty Gastroparesis 0206 medical engineering Biomedical Engineering Diagnostic accuracy 02 engineering and technology Gastroenterology Models Biological 03 medical and health sciences Internal medicine medicine Humans Computer Simulation Gastric dysrhythmia Myoelectric Complex Migrating Routine screening business.industry Electromyography Stomach Muscle Smooth Torso medicine.disease 020601 biomedical engineering Clinical Practice 030104 developmental biology medicine.anatomical_structure Cardiology Percentage difference business Gastrointestinal Motility |
| Zdroj: | IEEE transactions on bio-medical engineering. 64(7) |
| ISSN: | 1558-2531 |
| Popis: | Routine screening and accurate diagnosis of chronic gastrointestinal motility disorders represent a significant problem in current clinical practice. The electrogastrography (EGG) provides a noninvasive option for assessing gastric slow waves, as a means of diagnosing gastric dysrhythmias, but its uptake in motility practice has been limited partly due to an incomplete sensitivity and specificity. This paper presents the development of a human whole-organ gastric model to enable virtual ( in silico ) testing of gastric electrophysiological dispersion in order to improve the diagnostic accuracy of EGG. The model was developed to simulate normal gastric slow wave conduction as well as three types of dysrhythmias identified in recent high-resolution gastric mapping studies: conduction block, re-entry, and ectopic pacemaking. The stomach simulations were then applied in a torso model to identify predicted EGG signatures of normal and dysrhythmic slow wave profiles. The resulting EGG data were compared using percentage differences and correlation coefficients. Virtual EGG channels that demonstrated a percentage difference over 100% and a correlation coefficient less than $\pm$ 0.2 (threshold relaxed to $\pm$ 0.5 for the ectopic pacemaker case) were further investigated for their specific distinguishing features. In particular, anatomical locations from the epigastric region and specific channel configurations were identified that could be used to clinically diagnose the three classes of human gastric dysrhythmia. These locations and channels predicted by simulations present a promising methodology for improving the clinical reliability and applications of EGG. |
| Databáze: | OpenAIRE |
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