Surface Electromyography (sEMG) Based Cost-Effective Prosthetic Arm

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creativework.keywordsElectromyography
dc.contributor.advisorMd. Shahriar Hussain
dc.contributor.authorRIDHWAN HOSSAIN AFRIDI
dc.contributor.authorMD. ALIM ULLAH CHOWDHURY
dc.contributor.authorSABINA RAHMAN
dc.contributor.id1822074043
dc.contributor.id1811412043
dc.contributor.id1822065043
dc.date.accessioned2024-04-16
dc.date.accessioned2024-04-16T09:49:15Z
dc.date.available2024-04-16T09:49:15Z
dc.date.issued2022-01-01
dc.description.abstractSurface Electromyography (sEMG) signals are biomedical signals that represent electrical currents generated during muscle activity, and our central nervous system controls these signals. As a result, we can develop a prosthetic arm using EMG technology. Currently, there are many myoelectric prosthetic arms available commercially. However, they are costly for developing countries like Bangladesh, India, and Pakistan. So we developed a cost-effective circuit to extract the electromyography signal from the skin. The signal from this detector circuit is imported in MATLAB using Arduino Uno R3 for signal analysis, such as Fast Fourier Transform (FFT) and Wavelet Transform (1-D), for the classification of features from the signal. We successfully detected two distinct features during the analysis: the Rest position and the Fist position of the hand. So we used the ESP32 microcontroller for the practical implementation of the system as it has better ADC (12-Bit), higher clock speed (80 MHz), better PWM, and lower power consumption. We used a threshold level to distinguish between the Fist and Rest positions. The threshold value was determined using the trial and error method, and this value may vary from person to person. Finally, the ESP32 drives five servo motors fitted inside the InMoov open-source 3D arm after determining the hand position
dc.description.degreeUndergraduate
dc.identifier.cd600000008
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/490
dc.language.isoen_US
dc.publisherNorth South University
dc.rights© NSU Library
dc.subjectTECHNOLOGY::Electrical engineering, electronics and photonics::Electrical engineering
dc.titleSurface Electromyography (sEMG) Based Cost-Effective Prosthetic Arm
oaire.citation.endPage94
oaire.citation.startPage1
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