Mechanomyography sensors for detection of muscle activities and fatigue during Fes-evoked contraction
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Year
: 2014DOI: 10.1109/CASoN.2014.6920423
Keyword(s): Internet of Things (IoT),n IoT Architectural Reference Model,n IoT Architecture project,n IoT Communication Reference Model
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Mechanomyography sensors for detection of muscle activities and fatigue during Fes-evoked contraction
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contributor author | Ng, Mei Yee | |
contributor author | Pourmajidian, Maryam | |
contributor author | Hamzaid, Nur Azah | |
date accessioned | 2020-03-12T23:03:14Z | |
date available | 2020-03-12T23:03:14Z | |
date issued | 2014 | |
identifier other | 7036759.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1103916?locale-attribute=en | |
format | general | |
language | English | |
publisher | IEEE | |
title | Mechanomyography sensors for detection of muscle activities and fatigue during Fes-evoked contraction | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8246978 | |
subject keywords | Internet of Things (IoT) | |
subject keywords | n IoT Architectural Reference Model | |
subject keywords | n IoT Architecture project | |
subject keywords | n IoT Communication Reference Model | |
identifier doi | 10.1109/CASoN.2014.6920423 | |
filesize | 465233 | |
citations | 0 |