Non-invasive gastric motility monitor: fast electrogastrogram (fEGG).
We propose a new analysis method to extract the motility information from the electrogastrogram signal that has been recorded at a higher sampler rate than the conventional approaches. This technique utilizes a fourth order Butterworth bandpass filter in extracting the 50-80 cycles per minute (cpm) activity that was previously noted to represent the spike activity range of the cutaneous signals of dogs. Receiver operating characteristics (ROC) analyses have been applied to the processed data to compare the detection performance of our fEGG technique to the conventional approaches that use the slow wave as the reference. The areas under the ROC curves comparing the changes from postprandial stage to fed stage for the fEGG study was found to be 0.961 while for the slow wave it was 0.686. We offer our method as a complementary one to the existing methods.
Akin
Ata
A
Institute of Biomedical Engineering, Boĝaziçi University, Bebek, Istanbul, Turkey. ataakin@boun.edu.tr
Sun
Hun H
HH
D000818:Animals; D004285:Dogs; D004576:Electromyography / Q000295:instrumentation*; D005746:Gastric Emptying / Q000502:physiology*; D032342:Muscle Cells / Q000502:physiology; D009130:Muscle, Smooth / Q000502:physiology; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D013270:Stomach / Q000166:cytology / Q000502:physiology; D013272:Stomach Diseases / Q000175:diagnosis / Q000503:physiopathology