Abstract
Background Electrogastrography is a noninvasive electrophysiological procedure used to measure gastric myoelectrical activity. EGG methods have been used to investigate the mechanisms of the human digestive system and as a clinical tool. Abnormalities in gastric myoelectrical activity have been observed in subjects with diabetes. Objective The objective of this study was to use the electrogastrograms (EGGs) from healthy individuals and subjects with diabetes to identify potentially informative features for the diagnosis of diabetes using EGG signals. Methods A total of 30 features were extracted from the EGGs of 30 healthy individuals and 30 subjects with diabetes. Of these, 20 potentially informative features were selected using a genetic algorithm–based feature selection process. The selected features were analyzed for further classification of EGG signals from healthy individuals and subjects with diabetes. Results This study demonstrates that there are distinct variations between the EGG signals recorded from healthy individuals and those from subjects with diabetes. Furthermore, the study reveals that the features Maragos fractal dimension and Hausdorff box-counting fractal dimension have a high degree of correlation with the mobility of EGGs from healthy individuals and subjects with diabetes. Conclusions Based on the analysis on the extracted features, the selected features are suitable for the design of automated classification systems to identify healthy individuals and subjects with diabetes.
Highlights
Digestion is the breakdown of food into small water-soluble molecules that can be absorbed by the intestinal epithelium [1]
The selected features were analyzed for further classification of EGG signals from healthy individuals and subjects with diabetes
This study demonstrates that there are distinct variations between the EGG signals recorded from healthy individuals and those from subjects with diabetes
Summary
Digestion is the breakdown of food into small water-soluble molecules that can be absorbed by the intestinal epithelium [1]. Food enters the mouth and undergoes mechanical and chemical processes that result in the breakdown of food and absorption of nutrients [1]. Electrogastrography is a noninvasive technique used to measure and record the gastric myoelectrical activity associated with the process of digestion [2]. 1 (page number not for citation purposes) recordings of the electrical signals originating from the stomach muscles. Several cutaneous electrodes are placed on the upper abdomen, over the stomach, for the acquisition of EGG signals [3]. The dominant frequency of the EGG signal is identical to the frequency of the electrical activity of the stomach. Electrogastrography is a noninvasive electrophysiological procedure used to measure gastric myoelectrical activity. Abnormalities in gastric myoelectrical activity have been observed in subjects with diabetes
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