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primary topic: Framework for estimating active brain sources using MUSIC and Root MUSIC

Framework for estimating active brain sources using MUSIC and Root MUSIC
type: AcademicArticle
type: Article
abstract: Subspace techniques are widely used for direction of arrival (DOA) problems in telecommunications and position location applications for estimating the location of sources from where the signal is originated. This source estimation problem is analogues to the source estimation problem in EEG signal processing commonly termed as EEG inverse problem. The EEG inverse problem goes for estimation of active source inside the brain which is responsible for overall electromagnetic activity. This estimation provides useful basis to understand the physiological, neural and cognitive behavior of human brain which ultimately can be used for cure of many CNS related disease such as epilepsy and tumour etc. This research discuss most commonly used subspace techniques such as Multiple Signal classifier (MUSIC) and Root MUSIC for general DOA problem and produces some results by using MATLAB for arbitrary number of sources and varied number of element. Thus, the same methodology can be adopted for localization of active brain sources with few exceptions such as forward head modeling and sensor positions. © 2017 IEEE.
date: 2017
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ConferenceItemEPrint
is part of: repository

Institute of Electrical and Electronics Engineers Inc.
type: Organization

ICIEECT 2017 - International Conference on Innovations in Electrical Engineering and Computational Technologies 2017, Proceedings
type: Collection

M.A. Jatoi
type: Person
given name: M.A.
family name: Jatoi

N. Kamel
type: Person
given name: N.
family name: Kamel

S.H.A. Musavi
type: Person
given name: S.H.A.
family name: Musavi

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primary topic: Framework for estimating active brain sources using MUSIC and Root MUSIC