NDLI: Haar wavelet decomposition of EEG signal for ocular artifact de-noising: a mathematical analysis

Content Provider	IEEE Xplore Digital Library
Author	Kalpakam, N.V. Venkataramanan, S.
Copyright Year	2004
Description	Author affiliation: Dept. of Math., IIT, Guwahati, India (Kalpakam, N.V.)
Abstract	The de-noising of ocular artifacts from the electroencephalogram (EEG) signals based on existing filtering techniques results in a substantial loss of data. In our recent research, we have proposed the use of Haar wavelets for selective detection of the ocular artifacts and a control subsystem for their subsequent removal. Further, the application of this procedure to Alzheimer's EEG lead to the development of an efficient system for the early detection of the disease in clinical EEG recording itself. A detailed analysis of the Haar wavelet basis function and the EEG signal during the moments when the eye blinks occur produces interesting explanations for the success of this novel technique. This paper analyzes the process from a mathematical perspective and proposes a theory based on the properties of the Dirac-delta function and its relation to the ocular artifacts in normal and Alzheimer's EEG. The pre-seizure spike discharges occurring due to epilepsy also provide valuable information that is appropriate for testing the analysis and hence, are also examined.
Starting Page	141
Ending Page	144
File Size	356416
Page Count	4
File Format	PDF
ISBN	0780383222
DOI	10.1109/NEWCAS.2004.1359042
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-23
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet analysis Electroencephalography Noise reduction Mathematical analysis Filtering Alzheimer's disease Signal analysis Epilepsy Testing Information analysis
Content Type	Text
Resource Type	Article

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