CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Analysis of EOG Signal using Haar Wavelet

Published on None 2011 by Dr. M.Malini, Prof. K.SubbaRao
journal_cover_thumbnail

International Symposium on Devices MEMS, Intelligent Systems & Communication
Foundation of Computer Science USA
ISDMISC - Number 2
None 2011
Authors: Dr. M.Malini, Prof. K.SubbaRao
f13e9097-79f1-4734-b0a5-eb65887ca10e

Dr. M.Malini, Prof. K.SubbaRao . Analysis of EOG Signal using Haar Wavelet. International Symposium on Devices MEMS, Intelligent Systems & Communication. ISDMISC, 2 (None 2011), 28-31.

@article{
author = { Dr. M.Malini, Prof. K.SubbaRao },
title = { Analysis of EOG Signal using Haar Wavelet },
journal = { International Symposium on Devices MEMS, Intelligent Systems & Communication },
issue_date = { None 2011 },
volume = { ISDMISC },
number = { 2 },
month = { None },
year = { 2011 },
issn = 0975-8887,
pages = { 28-31 },
numpages = 4,
url = { /proceedings/isdmisc/number2/3451-isdm043/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Symposium on Devices MEMS, Intelligent Systems & Communication
%A Dr. M.Malini
%A Prof. K.SubbaRao
%T Analysis of EOG Signal using Haar Wavelet
%J International Symposium on Devices MEMS, Intelligent Systems & Communication
%@ 0975-8887
%V ISDMISC
%N 2
%P 28-31
%D 2011
%I International Journal of Computer Applications
Abstract

Electrooculogram(EOG) is an important tool in the diagnosis of certain neurological disorders. In this study EOG data are collected from normal and epileptic subjects to analyse their saccadic eye movements. Haar wavelet is used for the analysis of EOG signal. The results showed that the fourth level approximation coefficient is significant to clearly distinguish the saccadic eye movements of normal and epileptic subjects.

References
  1. Chi-Wen Hsieh et. al., “The study of the relationship between Electooculogram and the features of closed eye motion”, Proceedings of the 5th International conference on Information Technology and Application in Biomedicine, Shenzhen, China, May 30-31, 2008.
  2. Yoichi Tsuji, Kideki Satoh, Nobuyuki Itih, Yuuki Sekiguchi and Kazuyuki Nagasawa, "Automatic detection of rapid eye movements by discrete wavelet transform", Psychiatry and Clinical Neurosciences, 54, pp 276-277, 2000.
  3. Ayush Bhandari, Vijay Khare, Jayashree Santhosh and Sneh Anand, "Wavelet based compression technique of Electrooculogram signals", IFMBE Proceedings, 15, pp 440-443, Springer Berlin Heidelberg, 2007.
  4. Ayush Bhandari, Vijay Khare, Mrinal Trikha, and Sneh Anand, "Wavelet based Novel Technique for Signal Conditioning of Electrooculogram Signals", IEEE, 2006.
  5. M. Vidapanakanti, Dr. S. Kakarla, S. Katukojwala and Dr.M.U.R. Naidu , “Analysis of Saccadic Eye Movements of Epileptic Patients using Indigenously Designed and Developed Saccadic Diagnostic System”, IFBME Proceedings, 23, pp 431-434, Springer Berlin Heidelberg, 2009.
  6. Malini V, Subba Rao K and Satyanarayana K, "Wavelet Analysis of Electrooculogram", National conference on Advanced Signal Processing, Andhra University, Visakhapatnam, Nov 20-21, 2009.
  7. Chapa JO and Rao RM, "Algorithms for designing wavelets to match a specified signal", IEEE Transactions on Signal Processing, 48(12), 2000.
  8. De Sobral Cintra RJ, Tchervensky IV, Dimitrov VS and Mintchev MP, "Wavelet analysis in a canine model of gastric electrical uncoupling", Physiological Measurement, 25, pp 1355-1369, Institute of Physics Publishing, 2004.
  9. Robert J Schilling and Sandra L Harris, “Fundamentals of Digital Signal Processing using MATLAB”, 2nd ed., Cengage Learning, 2005.
  10. Tchervensky IV, de Sobral Cintra RJ, Neshev, Dimitrov VS, Sadowski DC and Mintchev MP, “Centre-specific multichannel electrogastro-graphic testing utilizing wavelet-based decomposition”, Physiological Measurement, 27, pp 569-584, Institute of Physics Publishing, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

EOG Saccadic eye movements Haar wavelet