Created a precise EMG sensor from scratch, processing raw EMG signals from electrodes. Filtering was first done to remove excessive noise from the 60Hz range, using a notch and bandpass filter to isolte the usable portion of the signal from 10Hz-150Hz. Following this, active components were used to amplify and shape the signal. This involved using a rectifier and comparator to produce a binary signal that could be fed into the Arduino to trigger an action from the prosthetic.
Prosthetic arm was created using Solidworks 3D models with topology and FEA studies to create a light weight and robust prosthetic. A gripper mechanism was also created to house all components, making the prosthetic mobile and a simple plug and play.