In this project, we implemented a control system for a prosthetic hand from the Haifa3D organization using a Muse S brainwave sensor. After reviewing the existing literature on prosthetic hands and control of motorized limbs, we found that EEG-based control is a common approach with potential for further applications. Once we became familiar with the sensor and its capabilities, we found a library (muse-lsl) that allows access to its measured parameters. We first processed this data and built software to work with it. We then visualized it using graphs and added animations, including one for the accelerometer and gyroscope sensors. Next, we implemented a mathematical algorithm that outputs planned control commands, with controlling the hand being the final step. Finally, we used code from a project by Liad Ollier and Roy Savion, who had also worked with the same prosthetic hand using input from a wristband, to build the software that operates the prosthetic hand