Signal processing based on EMG-based system

Electromygraphy (EMG) is an electrical signal that is generated in muscle when it contracts. Thus, it is possible to estimate the muscle power and the timing of joint’s movement indirectly through the EMG. In this FYP, a series of real time data will be collected through analog processing and digitally-processed offline. For the project, the necessary pre-processing analog circuit, such as amplifier, filters, etc., for the EMG sensors will be developed. Software likes Matlab will be used to do digital signal processing. Experimental investigation was carried out to examine several outcomes such as - The effect of the designed analog and digital processing circuit on the EMG signal. We can see the null frequency at 50 Hz being removed and aliasing is prevented with the help of the lowpass or band-pass filter. - Determination of the sensor/electrodes placement to obtain acceptably EMG signal. We are able to obtain a specific position at the center of bicep position to obtain a good signal. - To show the differences when a pair of electrodes is placed apart at a distance. We get to notice an increase of noise when the gap distance between electrodes gets wider. - Examine the sensor’s reliability in recognizing 4 arm gestures and others such as back thigh and back lower-leg. The results show the best signals by referring to the highest correlation. These results obtained from this project will be very useful for future project that requires the use of the EMG sensors such as assistive technology.Bachelor of Engineerin