Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 2)

S. Ananthi, V. Vidyadevi and K. Padmanabhan

Central Instrumentation Research and Department, University of Madras, A.C. Tech Campus, Chennai - 25 (India).

DOI : http://dx.doi.org/10.13005/msri/050213

ABSTRACT:

In Part –II of this paper, some nonlinear oscillation based wavelets are introduced as useful for EEG analysis. Next, it is shown how a new wavelet based on the spike and wave activity picked up from a patient?s own record could be designed. With such a designed wavelet, analysis made on the normal e.e.g. record itself is able to indicate any lurking low-amplitude activity characteristic of that pathology. While photic stimulation would induce that activity in the patient and elicit a really significant large amplitude spike and wave, it is better avoided. With this method, since such an activity can be inferred in the normal (un-stimulated) record itself by the picked wavelet analysis, it provides for a safer diagnostic procedure.

KEYWORDS: Van der Pol wavelet; picking a wavelet from signal; design of wavelets

Copy the following to cite this article: Ananthi S, Vidyadevi V, Padmanabhan K. Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 2). Mat.Sci.Res.India;5(2)

Copy the following to cite this URL: Ananthi S, Vidyadevi V, Padmanabhan K. Electro Encephalography Measurements Using Wavelet Based Signal Processing (Part 2). Mat.Sci.Res.India;5(2). Available from: http://www.materialsciencejournal.org/?p=2041

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