Robust Physiological Mappings: From Non-Invasive to Invasive

M. N. Syed; P. G. Georgiev; P. M. Pardalos

doi:10.1007/s10559-015-9701-5

Robust Physiological Mappings: From Non-Invasive to Invasive

M. N. Syed^*, P. G. Georgiev, P. M. Pardalos

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The goal of this paper is to highlight the challenges on the three methods of data analysis, namely: robust, component, and dynamical analysis with respect to the epilepsy. A forward and inverse mapping models for the human brain are presented. Research directions for obtaining robust inverse mapping and conducting dynamical analysis of the epileptic brain are discussed.

Original language	English
Pages (from-to)	96-104
Number of pages	9
Journal	Cybernetics and Systems Analysis
Volume	51
Issue number	1
DOIs	https://doi.org/10.1007/s10559-015-9701-5
State	Published - 1 Jan 2015

Bibliographical note

Publisher Copyright:
© 2015, Springer Science+Business Media New York.

Keywords

Blind signal separation
Dynamical analysis
Electroencephalography (EEG)
Epilepsy
Independent component analysis
Robust measures
Sparse component analysis

ASJC Scopus subject areas

General Computer Science

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Cite this

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title = "Robust Physiological Mappings: From Non-Invasive to Invasive",

abstract = "The goal of this paper is to highlight the challenges on the three methods of data analysis, namely: robust, component, and dynamical analysis with respect to the epilepsy. A forward and inverse mapping models for the human brain are presented. Research directions for obtaining robust inverse mapping and conducting dynamical analysis of the epileptic brain are discussed.",

keywords = "Blind signal separation, Dynamical analysis, Electroencephalography (EEG), Epilepsy, Independent component analysis, Robust measures, Sparse component analysis",

author = "Syed, \{M. N.\} and Georgiev, \{P. G.\} and Pardalos, \{P. M.\}",

note = "Publisher Copyright: {\textcopyright} 2015, Springer Science+Business Media New York.",

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AU - Syed, M. N.

AU - Georgiev, P. G.

AU - Pardalos, P. M.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - The goal of this paper is to highlight the challenges on the three methods of data analysis, namely: robust, component, and dynamical analysis with respect to the epilepsy. A forward and inverse mapping models for the human brain are presented. Research directions for obtaining robust inverse mapping and conducting dynamical analysis of the epileptic brain are discussed.

AB - The goal of this paper is to highlight the challenges on the three methods of data analysis, namely: robust, component, and dynamical analysis with respect to the epilepsy. A forward and inverse mapping models for the human brain are presented. Research directions for obtaining robust inverse mapping and conducting dynamical analysis of the epileptic brain are discussed.

KW - Blind signal separation

KW - Dynamical analysis

KW - Electroencephalography (EEG)

KW - Epilepsy

KW - Independent component analysis

KW - Robust measures

KW - Sparse component analysis

UR - https://www.scopus.com/pages/publications/84939956371

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IS - 1

ER -

Robust Physiological Mappings: From Non-Invasive to Invasive

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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