Gokul M1* and Pradeep Murugesan2
1Postgraduate Scholar, Department of Biomedical Engineering, Rajalakshmi Engineering College, India
2Postgraduate Diploma in Bioinformatics, Department of Bioinformatics, Bharathiar University, India
*Corresponding Author: Gokul M, Postgraduate Scholar, Department of Biomedical Engineering, Rajalakshmi Engineering College, India.
Received: September 07, 2020; Published: October 22, 2020
From the research background of corresponding author and co-author shows some promising analysis and interpretation on Electrogastrogram (EGG). EGG is the biological signal of stomach in order to empty the stuffs which was taken by the subjects orally. This signal is sort of bio-electric signal which will clearly depicts the functional information of stomach by capturing its ionic potentials by surface electrodes. These potentials will be influenced by the consumed food, subject’s movement, choice of filter and position of electrode. This EGG acquisition will be helpful in diagnosing stomach activity non-invasively by analysing its characteristics. The ideal and normal EGG pattern holds 3 cycles per minute with low distortion. In order to take this technology forward, EGG is tested with wavelets for compressing the signal to implement the telemedicine technology by transferring the signal from one end to another. There are many compression technique is used for transferring, but each technique has some drawbacks like poor compression ratio, information loss etc. The purpose of this editorial note is to choose the significant and low error wavelet for EGG compression. After this preliminary study (by finding the suitable wavelets), the results are taken for further research by analysing the performance of each wavelet in EGG compression.
Keywords: Electrogastrogram (EGG); Wavelets; Compression; Telemedicine
Citation: Gokul M and Pradeep Murugesan. “Choice of Wavelets for Electrogastrogram (EGG)". Acta Scientific Gastrointestinal Disorders 3.12 (2020): 01-03.
Copyright: © 2020 Gokul M and Pradeep Murugesan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.