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008 161213s2016 my fq d 001 0 eng d
020 _aTHE0005083(Local)
039 9 _a201905101614
_bhanafiah
_c201905101613
_dhanafiah
_c201712131157
_dfateeha
_y201612131403
_zsaini
040 _aUMP
090 _aFKP .A44 2016 r Bc.
090 _aCD 10412
100 0 _aNur Amelia Izzati Mohd Amin
245 1 0 _aEvaluation of muscle fatigue identification based on EMG feature
_h[electronic resource] /
_cNur Amelia Izzati Mohd Amin
260 _aKuantan, Pahang :
_bUMP,
_c2016
300 _a1 computer disc :
_bdigital data ;
_c12 cm.
500 _aFaculty of Manufacturing Engineering
500 _aTheses Gred B
502 _aProject Paper (Bachelor of Engineering in Mechatronis Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016
520 3 _aThe aim of this study was to identify muscle fatigue during sub-maximal contraction on biceps brachii and triceps muscle on upper limb muscle through EMG feature. The relationship between muscle fatigues with EMG feature was evaluated by conducting on six volunteers on their upper limb muscle. The raw EMG signal was recorded from biceps brachii muscle and triceps muscle in static posture at 30%, 50% and 70% of their maximum voluntary contraction (MVC). Band pass Butterworth filter (20-1000 Hz) and 1000 Hz of sampling frequency was applied during the experiments. The subjects was instructed to grip the hand dynamometer and the sEMG activity of the biceps brachii muscle and triceps muscle was recorded. Root mean square feature was calculated as EMG amplitude which have been computed in the filtered EMG signal recorded. Regression analysis and analysis of variance (ANOVA) were implemented to determine the significant of the feature with the muscle force. The result shows that muscle fatigue was performed at 70% of MVC at both of muscle. The relationship between 30% and 70% of force was most significant value which was 0.000 (P<0.05) on biceps brachii muscle while most significant value was 0.035 (P<0.05) resulted between 30% and 70% of force on triceps muscle.
538 _aItem in PDF format
610 2 0 _aFaculty of Manufacturing Engineering
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
856 4 0 _uhttp://ecollib.ump.edu.my/id/eprint/3982
_zAccess in library only
999 _aVIRTUA40
_c6936
_d6942
999 _aVTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*8560*9992