Wavelets in Biomedical Data Analysis: Scaling and Functional Design in Applications

Thursday, December 8, 2005 - 10:30am - 11:30am
EE/CS 3-180
Brani Vidakovic (Georgia Institute of Technology)
Measured bioresponses are often characterized by
an intrinsic high frequency and strong persistent correlations
inhibiting statistical modeling by the traditional techniques.
The talk overviews two novel wavelet-based techniques
for modeling such challenging data.

Wavelet domains provide natural modeling
environments for data that scale, as well as for data
consisting of continuous n-dimensional functions.
We briefly discuss technicalities and describe in detail
two applications.
First application deals with wavelet analysis of
functional ANOVA (FANOVA) where the observations
are curves coming from clinical research.
The second application discusses classification methods
based on wavelet-based measures of irregular scaling
(multifractal spectra) applied on high frequency pupillary
responses for patients with various eye pathologies.
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