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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Détails bibliographiques
Auteur principal: Hazwani Harun (Auteur)
Collectivité auteur: Universiti Malaysia Perlis
Format: Thèse Livre
Langue:English
Publié: Perlis, Malaysia School of Mechatronic Engineering 2017.
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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 
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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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