Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis

Shengkun Xie, Anna Lawniczak

2019

Abstract

Functional data analysis is a natural tool for functional data to discover functional patterns. It is also often used to investigate the functional variation of random signals. In this work, we propose a novel approach by analyzing EEG signals in the spectral domain using functional data analysis techniques including functional descriptive statistics, functional probes, and functional principal component analysis. By first transforming EEG signals into their power spectra, the functionality of random signals is greatly enhanced. Because of this improvement, the application of functional data analysis becomes meaningful in feature extraction of random signals. Our study also illustrates a great potential of using functional PCA as a feature extractor for EEG signals in epilepsy diagnosis.

Paper Citation

in Harvard Style

Xie S. and Lawniczak A. (2019). Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 118-127. DOI: 10.5220/0007353301180127

in Bibtex Style

@conference{icpram19,
author={Shengkun Xie and Anna Lawniczak},
title={Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={118-127},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007353301180127},
isbn={978-989-758-351-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Feature Extraction of Epileptic EEG in Spectral Domain via Functional Data Analysis
SN - 978-989-758-351-3
AU - Xie S.
AU - Lawniczak A.
PY - 2019
SP - 118
EP - 127
DO - 10.5220/0007353301180127