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Analysis of EOG Signal using Haar Wavelet
| 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.
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
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