Akademik Veri Yönetim Sistemi
23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, İstanbul, Türkiye, 25 - 28 Ekim 2001, cilt.23, ss.3341-3344
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 4th 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 area under the ROC curve for the fEGG study was found to be .961 while for the slow wave was 0.686. We offer our method as a complimenting one to the existing methods.