The investigation of EMG signal for lower limb movement during solah (muslim prayer) /
The scopes of the study include to statistically verify the EMG signal data from the different positions and postures of lower limb muscles during performing solah. The results would quantitatively clarify the differences of different postures and anatomical positions of the lower limb muscles durin...
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Format: | Thèse Livre |
Langue: | English |
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Perlis, Malaysia
School of Mechatronic Engineering
2017.
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100 | 0 | |a Hazwani Harun, |e author | |
245 | 1 | 0 | |a The investigation of EMG signal for lower limb movement during solah (muslim prayer) / |c Hazwani Binti Harun. |
264 | 1 | |a Perlis, Malaysia |b School of Mechatronic Engineering |c 2017. | |
300 | |a xiv, 95 pages |b colour illustrations |c 30 cm. | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a unmediated |b n |2 rdamedia | ||
338 | |a volume |b nc |2 rdacarrier | ||
502 | |a Thesis (Master of Science) -- Universiti Malaysia Perlis. School of Mechatronic Engineering , 2017 | ||
504 | |a Includes bibliographical references. | ||
520 | |a The scopes of the study include to statistically verify the EMG signal data from the different positions and postures of lower limb muscles during performing solah. The results would quantitatively clarify the differences of different postures and anatomical positions of the lower limb muscles during performing solah; this study involved 20 healthy subjects with the range of age from 18 to 40 years old (Appendix D) which involve the most functional muscles of the lower limbs during the respective chosen postures which are Gastrocnemius and Tibialis Anterior muscles; to postures include pertaining to sujud, sujud and sitting in solah; to data of the recorded EMG signal data would be analyzed and discussed using Paired Sample T-Test from SPSS version 16.0. | ||
541 | |a Gift from Centre for Graduate Studies (Master of Science ) |b 2018 | ||
650 | 0 | |a Electromyography | |
650 | 0 | |a Muscle | |
710 | 2 | |a Universiti Malaysia Perlis | |
720 | 1 | |a Dr. Nashrul Fazli Bin Mohd Nasir, |e Supervisor | |
790 | 1 | |a School of Mechatronic Engineering | |
791 | 1 | |a Master of Science | |
792 | 1 | |a 2017 | |
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