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Motor imagery EEG signal classification scheme based on entropy of intrinsic mode function

Author:
Talukdar, Md.Toky Foysal
,
Sakib, Shahnewaz Karim
,
Shahnaz, Celia
,
Fattah, Shaikh Anowarul
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/MWSCAS.2014.6908420
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1097510
Keyword(s): Batteries,n Capacitors,n Clamps,n Damping,n Electrostatics,n Reactive power,n Vibrations,n Energy-harvesting charger,n damping force,n electrostatic transducer,n maximum output power,n switched inductor
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    Motor imagery EEG signal classification scheme based on entropy of intrinsic mode function

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contributor authorTalukdar, Md.Toky Foysal
contributor authorSakib, Shahnewaz Karim
contributor authorShahnaz, Celia
contributor authorFattah, Shaikh Anowarul
date accessioned2020-03-12T22:52:25Z
date available2020-03-12T22:52:25Z
date issued2014
identifier other7027019.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1097510?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleMotor imagery EEG signal classification scheme based on entropy of intrinsic mode function
typeConference Paper
contenttypeMetadata Only
identifier padid8238357
subject keywordsBatteries
subject keywordsn Capacitors
subject keywordsn Clamps
subject keywordsn Damping
subject keywordsn Electrostatics
subject keywordsn Reactive power
subject keywordsn Vibrations
subject keywordsn Energy-harvesting charger
subject keywordsn damping force
subject keywordsn electrostatic transducer
subject keywordsn maximum output power
subject keywordsn switched inductor
identifier doi10.1109/MWSCAS.2014.6908420
journal titlelectrical and Computer Engineering (ICECE), 2014 International Conference on
filesize1194624
citations0
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