PSD Analysis of EGG Signal using Various Types of Windowing Methods

Gowtham, R. and Chandrasekaran, R. and Atchaya, J. and Ravindran, Rekha (2023) PSD Analysis of EGG Signal using Various Types of Windowing Methods. In: 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India.

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Abstract

:In this study, the effects of pre-processed foods in the gastric motility are analysed and described in detail. The electro gastro graphic signal tends to vary based upon the types of the food we intake and the body mass index of the person. In the modern era the consumptions of the pre-processed foods are increased among the 18 to 25 aged group of people. The preprocessed foods mainly consist of the high CHO, protein and fat content in it; hence the consumption of the pre-processed foods leads to the several gastric issues for the person who consumes it regularly. The gastric issues caused due to the consumption of the pre-processed foods are tachy-gastria and the brady-gastria. Tachy-gastria is the state at which the gastric myoelectric activity is increased and brady-gastria is the state at which the gastric motility is reduced. These types of gastric disorders may lead to the irritable bowel syndrome for the person with gastric issues. The acquired EGG signal is pre-processed using the advanced filters present in the BIOPAC system to remove the noises and the power spectral density is applied to the acquired signal to analyse the deviation in the power spectral values of the pr-processed EGG signal at the different states. In this study the changes in the PSD values of the gastro graphic signal after consumption of different type of pre-processed foods are explained in detail and the EGG power spectrum signal deviations for the various types of foods are shown in this study

Item Type: Conference or Workshop Item (Paper)
Subjects: Mechanical Engineering > Electronic Engineering
Divisions: Mechanical Engineering
Depositing User: Mr IR Admin
Date Deposited: 20 Sep 2024 05:24
Last Modified: 20 Sep 2024 05:24
URI: https://ir.vistas.ac.in/id/eprint/6600

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