01683nmm a2200253 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002600109245012400135260003400259300004600293500004100339500001800380502011800398520070900516538002301225610005601248650004501304650001101349856006901360vtls000098395KUKTEM20251117113332.0161213s2016    my     fq  d  001 0 eng d  aTHE0005085(Local)  aUMP0 aMuhammad Saufi Sanusi10aAge-related muscle function identification using emg amplitude analysish[electronic resource] /cMuhammad Saufi Sanusi  aKuantan, Pahang :bUMP,c2016  a1 computer disc :bdigital data ;c12 cm.  aFaculty of Manufacturing Engineering  aTheses Gred B  aProject Paper (Bachelor of Engineering in Mechatronis Engineering (Hons.)) -- Universiti Malaysia Pahang – 20163 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.  aItem in PDF format20aFaculty of Manufacturing EngineeringxDissertations 0aUniversities and CollegesxDissertations 0aTheses40uhttp://ecollib.ump.edu.my/id/eprint/3936zAccess in library only