000			01984nmm a2200313 a 4500
001			vtls000098395
003			KUKTEM
005			20251117113332.0
008			161213s2016 my fq d 001 0 eng d
020			_aTHE0005085(Local)
039		9	_a201905101618 _bhanafiah _c201712121512 _dfateeha _y201612131432 _zsaini
040			_aUMP
090			_aFKP .S284 2016 r Bc.
090			_aCD 10414
100	0		_aMuhammad Saufi Sanusi
245	1	0	_aAge-related muscle function identification using emg amplitude analysis _h[electronic resource] / _cMuhammad Saufi Sanusi
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 relationship between electromyography (EMG) and age group is to identify and analysis the electrical activity/signal on upper-limb muscle. Nine participants/subjects with their arm fixed at 90º angle and perform isometric contraction using the dynamometer. The EMG is one kind of biological signal that can be recorded by using signal sensors. A raw EMG signal is obtained from the experiment and then will be filtered to get accurate results. The Root-Mean-Square (RMS) and Mean-Absolute-Value (MAV) is then obtained by using the calculations from the raw data. The results shows the EMG activity for younger age group is more significant (higher activity) compare to the adult and older age group.
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/3936 _zAccess in library only
999			_aVIRTUA40 _c6955 _d6961
999			_aVTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*8560*9992