It was hypothesized by many researchers that the spike activity signals of the stomach are responsible for triggering the peristaltic contractions. Since most gastric motility disorders include an abnormality in the contraction pattern, it becomes very important to access to this information non-invasively. The aim in this thesis is to use the abdominal Electrogastrogram signals in detecting the spike activity signals generated by the serosa of the stomach, hence provide the clinicians with a method to better monitor the motility state of the stomach. Through second and third-order spectral estimations performed on the serosal data obtained from canine experiments, it was concluded that the spike activity in serosal signals occupies a frequency range of 50 ~ 80 cpm. An increase in this frequency range during strong antral contractions was observed both in the serosal and cutaneous power spectra. By using the Continuous Wavelet Transform with respect to a modified Morlet wavelet, the spike activity signals generated from the serosa of the stomach can actually be detected and quantified in time from the cutaneous EGG records. During phase III contraction episodes, a detection accuracy of 96% from the cutaneous EGG recordings was observed based on the scored serosal spike activities simultaneously recorded.
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Details
Title
Non-invasive detection of spike activity of the stomach from cutaneous EGG
Creators
Ata Akin
Contributors
Hun Hsuan Sun (Advisor)
Awarding Institution
Drexel University
Degree Awarded
Doctor of Philosophy (Ph.D.)
Publisher
Drexel University; Philadelphia, Pennsylvania
Number of pages
xix, 173 pages
Resource Type
Dissertation
Language
English
Academic Unit
School of Biomedical Engineering, Science, and Health Systems (1997-2026); Drexel University