| 000 | 02347nmm a2200301 a 4500 | ||
|---|---|---|---|
| 001 | vtls000098383 | ||
| 003 | KUKTEM | ||
| 005 | 20251117113329.0 | ||
| 008 | 161213s2016 my fq d 001 0 eng d | ||
| 020 | _aTHE0005073(Local) | ||
| 039 | 9 |
_a201905101526 _bhanafiah _y201612131114 _zsaini |
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| 040 | _aUMP | ||
| 090 | _aFKP .F38 2016 r Bc. | ||
| 090 | _aCD 10402 | ||
| 100 | 0 | _aFatin Zulaika Hasan | |
| 245 | 1 | 0 |
_aEffect on EMG signal from upper limb muscle during conscious and subconscious perception _h[electronic resource] / _cFatin Zulaika Hasan |
| 260 |
_aKuantan, Pahang : _bUMP, _c2016 |
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| 300 |
_a1 computer disc : _bdigital data ; _c12 cm. |
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| 500 | _aFaculty of Manufacturing Engineering | ||
| 500 | _aTheses Gred B | ||
| 502 | _aProject Paper (Bachelor of Mechatronics Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016 | ||
| 520 | 3 | _aThe effect on EMG signal for upper limb muscle was investigated by two condition that is conscious and sub-conscious perception. There were six participants among University Malaysia Pahang’s students chosen as subjects. The subjects were asked to fix their arm in 90° isometric position and their data were recorded by two conditions and three times for each condition. The experiment was conduct by using shimmer EMG connect to the electrodes placed on subject’s muscle. The muscle chosen was forearms and biceps brachii. From the data recording, raw data was obtain and from the raw data, the Root Mean Square (RMS) and Mean Absolute Value (MAV) were calculated by using equation. The force exerted by each subject was recorded by using hand dynamometer. From RMS and MAV value, graph of mean, standard deviation and coefficient of variance were plotted after doing the calculation based on equation. As this project was comparing between conscious and sub-conscious, the results show that the highest EMG signal and muscle activation was during conscious condition. This show that during conscious condition, the electrical signal on upper limb muscle getting stronger. | |
| 538 | _aItem in pdf format | ||
| 610 | 2 | 0 |
_aFaculty of Manufacturing Engineering _xDissertations |
| 650 | 0 |
_aUniversities and Colleges _xDissertations |
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| 650 | 0 | _aTheses | |
| 999 |
_aVIRTUA40 _c6843 _d6849 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5001*5020*5200*5380*6100*6500*6501*9992 | ||