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Investigation into machine learning algorithms as applied to motor cortex signals for classification of movement stages

Author:
Hollingshead, R.L.
,
Putrino, D.
,
Ghosh, S.
,
Tan, T.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/PEAC.2014.7037872
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1049899
Keyword(s): Capacitors,Insulated gate bipolar transistors,JFETs,Silicon,Silicon carbide,Switches,Switching frequency,Boost converter,Photovoltaic,SiC JFET,SiC diode
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    Investigation into machine learning algorithms as applied to motor cortex signals for classification of movement stages

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contributor authorHollingshead, R.L.
contributor authorPutrino, D.
contributor authorGhosh, S.
contributor authorTan, T.
date accessioned2020-03-12T21:27:14Z
date available2020-03-12T21:27:14Z
date issued2014
identifier other6943834.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1049899?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleInvestigation into machine learning algorithms as applied to motor cortex signals for classification of movement stages
typeConference Paper
contenttypeMetadata Only
identifier padid8179643
subject keywordsCapacitors
subject keywordsInsulated gate bipolar transistors
subject keywordsJFETs
subject keywordsSilicon
subject keywordsSilicon carbide
subject keywordsSwitches
subject keywordsSwitching frequency
subject keywordsBoost converter
subject keywordsPhotovoltaic
subject keywordsSiC JFET
subject keywordsSiC diode
identifier doi10.1109/PEAC.2014.7037872
journal titlengineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the
filesize634064
citations0
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