Electromyography (EMG) Analysis Of Backpack Weight On Muscle Activities Of The Lower And Upper Extremity

Hii, Hie Kee (2016) Electromyography (EMG) Analysis Of Backpack Weight On Muscle Activities Of The Lower And Upper Extremity. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, backpack become an important part of people’s everyday life. Different people carry backpacks for different purposes. For students, they normally fill backpacks with books and stationeries, while hikers fill them with hiking tools, tents and supplies. Actually, there is some significant association between backpacks weight and occurrence of back pain. When you put a heavy weight on your shoulders more than 10% of your body weight [1], the weight’s force can pull you backward. To compensate, you may bend forward at the hips or arch your back. This can cause your spine to compress unnaturally. Over time this can cause the shoulders to become rounded and the upper part of back become curved. The purpose of the present study is to analyse the lower and upper extremity muscle activities during the carriage of different backpacks. In this project, the different size of backpack: (1) unloaded; (2) 10% body weight (BW) load (in the form of backpack); (3) 15% BW load and (4) 20% BW load are measured while fixing the gender as a constant. Subject is required to bear with 4 different size of load to walk 50m far of track. The electromyography (EMG) signal from erector spinae (upper extremity) and biceps femoris (lower extremity) were collected by using Visual Basic when the weight of backpack is vary. EMG signal raw data will be analysed using MATLAB 2012 by frequency and time domain algorithm. EMG signal analysis techniques which are EMG raw signal view and Fast Fourier Transform (FFT) will be used for comparison. FFT is used to identify the peak power spectrum of each different tasks. EMG signal performance is present in terms of average voltage (

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