02587nmm a2200313 a 4500 vtls000098393 KUKTEM 20251117113332.0 161213s2016 my fq d 001 0 eng d THE0005083(Local) 201905101614 hanafiah 201905101613 hanafiah 201712131157 fateeha 201612131403 saini UMP FKP .A44 2016 r Bc. CD 10412 Nur Amelia Izzati Mohd Amin Evaluation of muscle fatigue identification based on EMG feature [electronic resource] / Nur Amelia Izzati Mohd Amin Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Manufacturing Engineering Theses Gred B Project Paper (Bachelor of Engineering in Mechatronis Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016 The 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. Item in PDF format Faculty of Manufacturing Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/3982 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKP .A44 2016 r Bc. | CD 10412 0000115927 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6936 6942 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*8560*9992