CNEL Alumnus: Anant Hegde


Former student webpage:
About Me

I am doing my PhD under the supervision of Dr. Principe. Currently, I am working on signal-processing algorithms to predict and detect epileptic seizures.
 
My Research Interests

Adaptive Signal processing, Neural Networks and advanced communication systems.
 
Research Goals

Goals for FALL '02
1) Investigate causal relations between multiple-EEG channel seizure-data using the Partial-Directed-Coherence (PDC) approach.
2) Explore the various non-linear approaches to model an epileptic-seizure time-series data.
3) Study and possibly, build the brute force technique for ICA parameter estimation.
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Links

 
CNEL Papers
Dissertation
1Anant Hegde,"A Spatio-Temporal Dependency Analysis of Epileptic ECOG", May 2006, University of Florida.(author PDF)
 
Journal Papers
1A. Hegde, D. Erdogmus, D. Shiau, J. Prinicpe, C. Sackellares, "Clustering Approach to Quantify Long-Term Spatio-temporal Interactions in Epileptic Intracranial EEG", , Vol. 2007, No. , pp. -, Jan. 2007,DOI:10.1155/2007/83416 (author PDF)
2A. Hegde, D. Erdogmus, D. Shiau, J. Principe, C. Sackellares, "Quantifying Spatio-Temporal Dependencies in epileptic ECOG", Analog Integrated Circuits and Signal Processing, Vol. 85, No. 11, pp. 2082-2100, Nov. 2005 (author PDF)
 
Conference Papers
1Anant Hegde, Deniz Erdogmus, Yadunandana Rao, Jose Principe, Jianbo Gao, "SOM-based similarity index measure:Quantifying interactions between multivariate structures," Intl. Work. on Neural Networks for Signal Processing.(Accepted) (author PDF)
2A. Hegde, J. Principe, "On Spatio-Tempporal Dependency Changes in Epileptic Intracranial EEG: A Statistical Assessment", Intl. Conf. of Engineering in Medicine and Biology Society, pp. -, Aug. 2006 (author PDF)
3A. Hegde, D. Erdogmus, J. Principe, "Synchronization analysis of epileptic ECOG data using SOM-based SI measure", Intl. Conf. of Engineering in Medicine and Biology Society, pp. 952-955, Sept. 2004 (author PDF)
4A. Hegde, D. Erdogmus, Y. Rao, J. Principe, "Vector Quantization by density matching in the minimum Kullback-Liebler divergence sense", Intl. Joint Conf. on Neural Networks, pp. 105-108, July 2004 (author PDF)
 

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