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Filtering approach based on empirical mode decomposition improves the assessment of short scale complexity in long QT syndrome type 1 population

contributor authorBari, V.
contributor authorMarchi, A.
contributor authorGirardengo, G.
contributor authorGeorge, A.L.
contributor authorBrink, P.A.
contributor authorCerutti, S.
contributor authorCrotti, L.
contributor authorSchwartz, P.J.
contributor authorPorta, A.
date accessioned2020-03-12T21:29:25Z
date available2020-03-12T21:29:25Z
date issued2014
identifier other6945158.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1051230?show=full
formatgeneral
languageEnglish
publisherIEEE
titleFiltering approach based on empirical mode decomposition improves the assessment of short scale complexity in long QT syndrome type 1 population
typeConference Paper
contenttypeMetadata Only
identifier padid8181215
subject keywordsapplication program interfaces
subject keywordsn logic programming
subject keywordsn program control structures
subject keywordsn program debugging
subject keywordsn query processing
subject keywordsn software libraries
subject keywordsn source code (software)
subject keywordsn API usage pattern
subject keywordsn Clojure library
subject keywordsn Clojure read-eval-print loop
subject keywordsn EKEKO metaprogramming library
subject keywordsn Eclipse infrastructure
subject keywordsn Eclipse workspace
subject keywordsn applicative logic metaprogramming
subject keywordsn building development tools
subject keywordsn error markers
subject keywordsn logic queries
subject keywordsn program query answering
subject keywordsn program tr
identifier doi10.1109/CSMR-WCRE.2014.6747211
journal titlengineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the
filesize707918
citations0


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