Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis

Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis

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Bibliographic Details
Main Author: Ali, Aminah
Format: Thesis
Published: 2007
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
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id my-utm-ep.3222
record_format uketd_dc
spelling my-utm-ep.32222013-11-14T01:44:06Z Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis 2007 Ali, Aminah TK Electrical engineering. Electronics Nuclear engineering 2007 Thesis http://eprints.utm.my/id/eprint/3222/ masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Ali, Aminah
Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis
description
format Thesis
qualification_level Master's degree
author Ali, Aminah
author_facet Ali, Aminah
author_sort Ali, Aminah
title Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis
title_short Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis
title_full Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis
title_fullStr Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis
title_full_unstemmed Identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis
title_sort identification of cortical connectivities during isometric contraction with visual stimulation using coherence analysis
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2007
_version_ 1747814443619713024

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