Analysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain /

Project Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik)) - universiti Teknologi Malaysia, 2015

Bibliographic Details
Main Authors: Faezul Fitri Abd, Rahman, 1992-, Ahmad Zuri Sha'ameri, Fakulti Kejuruteraan Elektrik
Format:
Language:eng
Published: 2015
Subjects:
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author Faezul Fitri Abd, Rahman, 1992-
Ahmad Zuri Sha'ameri
Fakulti Kejuruteraan Elektrik
author_facet Faezul Fitri Abd, Rahman, 1992-
Ahmad Zuri Sha'ameri
Fakulti Kejuruteraan Elektrik
author_sort Faezul Fitri Abd, Rahman, 1992-
collection OCEAN
description Project Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik)) - universiti Teknologi Malaysia, 2015
first_indexed 2024-03-05T15:07:41Z
format
id KOHA-OAI-TEST:532242
institution Universiti Teknologi Malaysia - OCEAN
language eng
last_indexed 2024-03-05T15:07:41Z
publishDate 2015
record_format dspace
spelling KOHA-OAI-TEST:5322422020-12-19T17:20:03ZAnalysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain / Faezul Fitri Abd, Rahman, 1992- Ahmad Zuri Sha'ameri Fakulti Kejuruteraan Elektrik 2015engProject Paper (Sarjana Muda Kejuruteraan (Elektrik - Elektronik)) - universiti Teknologi Malaysia, 2015Includes bibliographical referencesFEELECTLElectromyography
spellingShingle Electromyography
Faezul Fitri Abd, Rahman, 1992-
Ahmad Zuri Sha'ameri
Fakulti Kejuruteraan Elektrik
Analysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain /
title Analysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain /
title_full Analysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain /
title_fullStr Analysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain /
title_full_unstemmed Analysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain /
title_short Analysis software for EMG signal for determined the muscle fatigue index based on time domain, frequency domain and time-frequency domain /
title_sort analysis software for emg signal for determined the muscle fatigue index based on time domain frequency domain and time frequency domain
topic Electromyography
work_keys_str_mv AT faezulfitriabdrahman1992 analysissoftwareforemgsignalfordeterminedthemusclefatigueindexbasedontimedomainfrequencydomainandtimefrequencydomain
AT ahmadzurishaameri analysissoftwareforemgsignalfordeterminedthemusclefatigueindexbasedontimedomainfrequencydomainandtimefrequencydomain
AT fakultikejuruteraanelektrik analysissoftwareforemgsignalfordeterminedthemusclefatigueindexbasedontimedomainfrequencydomainandtimefrequencydomain