There are approximately 1000 undergraduate students in the Department of Kinesiology at the University of Maryland, College Park. The department's academic programs strive to provide up-to-date, in-depth, interdisciplinary study of human movement at all levels of analysis. As undergraduates, students are exposed to a variety of techniques and technologies to enhance their understanding and appreciation of the human body. The EMG team looks to develop a low-cost system for professors of the Kinesiology Department that measures, displays, and analyzes EMG signals to provide students a hands-on opportunity to study and better understand the connection between the brain and the body. The goal of the system is to reduce cost, expand functionality, and improve flexibility with regards to existing solutions. The system will be capable of pseudo-realtime data streaming with data processing performed by MATLAB. It will appeal to the pedagogic demands of a lab exercise by providing novel software features to engage students and allowing instructors to customize the lab experience.

This project was created during the Fall of 2017 for Dr. Rudolphe Gentili by students in the class CMSC435 Software Engineering. The goal was to build a low cost and replicable electromyography device for student lab use at the Kinesiology Department of the University of Maryland. It uses an Arduino Uno and MyoWare Sensors to detect EMG signals, which are then visualized and processed by either MATLAB or the application built using Electron. The applications feature pseudo-realtime data collection, guided lab mode, and interactive data visualization.