The WiNAM project: Neural data analysis with applications to epilespy

This work presents a novel algorithmic method based on an ngram approach and applies it ECoG and deep brain neural data for analysis of epileptic seizures. This is part of a project (WiNAM) to design an analysis framework suitable for analysing brain dynamical changes. By first exploring the ngram m...

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Bibliographic Details
Main Authors: Juffali, W, El-Imad, J, Eftekhar, A, Toumazou, C
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Brain modeling
Electroencephalography
Epilepsy
Feature extraction
Pattern recognition
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Summary:This work presents a novel algorithmic method based on an ngram approach and applies it ECoG and deep brain neural data for analysis of epileptic seizures. This is part of a project (WiNAM) to design an analysis framework suitable for analysing brain dynamical changes. By first exploring the ngram model and its traditional use we describe how to apply it to biological data for pattern recognition. We then use this methodology and apply it to neurological data to show good sensitivity to seizure onset. Through these tests we explore the parameters used when computing the ngram to evaluate what is needed to maintain this sensitivity. Additionally, we present the analysis framework (an online system) that is being developed to carry out the ngram analysis and database the data and results.
ISSN:2163-4025
2766-4465
DOI:10.1109/BIOCAS.2010.5709567