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An automated methodology for FECG extraction and Fetal Heart Rate monitoring using Independent Component Analysis

Author:
Dhage, N.
,
Madhe, S.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TAEE.2014.6900181
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1090660
Keyword(s): learning (artificial intelligence),n maximum power point trackers,n microcontrollers,n power engineering computing,n solar cells,n virtual instrumentation,n II-development,n Keil environment,n LabVIEW program,n PBL,n active methodology,n battery charging system,n building process,n controller card,n maximum power point,n microcontroller T89C51AC2,n project-based cooperative learning,n solar energy,n solar panel,n solar panel system,n vi
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    An automated methodology for FECG extraction and Fetal Heart Rate monitoring using Independent Component Analysis

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contributor authorDhage, N.
contributor authorMadhe, S.
date accessioned2020-03-12T22:40:17Z
date available2020-03-12T22:40:17Z
date issued2014
identifier other7019319.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1090660?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleAn automated methodology for FECG extraction and Fetal Heart Rate monitoring using Independent Component Analysis
typeConference Paper
contenttypeMetadata Only
identifier padid8229184
subject keywordslearning (artificial intelligence)
subject keywordsn maximum power point trackers
subject keywordsn microcontrollers
subject keywordsn power engineering computing
subject keywordsn solar cells
subject keywordsn virtual instrumentation
subject keywordsn II-development
subject keywordsn Keil environment
subject keywordsn LabVIEW program
subject keywordsn PBL
subject keywordsn active methodology
subject keywordsn battery charging system
subject keywordsn building process
subject keywordsn controller card
subject keywordsn maximum power point
subject keywordsn microcontroller T89C51AC2
subject keywordsn project-based cooperative learning
subject keywordsn solar energy
subject keywordsn solar panel
subject keywordsn solar panel system
subject keywordsn vi
identifier doi10.1109/TAEE.2014.6900181
journal titledvanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
filesize1637047
citations0
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