Research Article
Characteristics and Analysis of ElectroGastroGram Signal
@INPROCEEDINGS{10.1007/978-3-031-35078-8_30, author={R. Chandrasekaran and S. Vijayaraj and G. R. Jothi Lakshmi}, title={Characteristics and Analysis of ElectroGastroGram Signal}, proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I}, proceedings_a={ICISML}, year={2023}, month={7}, keywords={Gastroparesis Kajal cells Spectral Estimation Pacemaker of Stomach Dominant Frequency Electrogastrogram Signals}, doi={10.1007/978-3-031-35078-8_30} }- R. Chandrasekaran
S. Vijayaraj
G. R. Jothi Lakshmi
Year: 2023
Characteristics and Analysis of ElectroGastroGram Signal
ICISML
Springer
DOI: 10.1007/978-3-031-35078-8_30
Abstract
In this study the various spectral estimation of the Electrogastrogram Signals are discussed. The Main objective of the study is to identify the gastroparesis condition using various signal processing techniques. Gastroparesis is one of the pathetic condition in which the stomach fails to digest. Gastroparesis is also called as stomach paralysis. Due to damage or dysfunction of vagal nerve, kajal cells at stomach lining temporary stomach paralysis happen. The immediate stimulation can make the pacemaker of the stomach to get activated and back to digestion process. In this study the stomach signals are preprocessed and spectral estimation techniques are applied to study about the signal spectrum characteristics. The determination of dominant frequencies and features extracted from frequency domain gives vivid description about the abnormalities of the gastric signal.
