EMG Capstone Design 2026
Faculty Mentor
Mehyar Fahed
Presentation Type
Poster
Start Date
4-14-2026 2:00 PM
End Date
4-14-2026 4:00 PM
Location
PUB NCR
Primary Discipline of Presentation
Electrical Engineering
Abstract
Electromyography (EMG) systems are used to evaluate electrical muscle activity and motor control. While these systems started as basic oscilloscopes, advancements in electrical engineering technology have not only allowed these systems to become digitalized, but also greatly improve in accuracy. One of the main barriers to the widespread use of EMG systems in exercise physiology and rehabilitation field is the high cost of the industrial EMG systems. The goal of this project is to utilize modern electrical engineering components to create a customized cost-effective EMG system with accuracy close to that of standard industrial systems. This will be accomplished by first collecting electrical signals from muscles with surface EMG sensors. These signals will then be fed into a high-performance microcontroller, which will digitize and display the data onto an external computer.
Recommended Citation
Carpenter, Stefen, "EMG Capstone Design 2026" (2026). 2026 Symposium. 35.
https://dc.ewu.edu/srcw_2026/ps_2026/p3_2026/35
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
EMG Capstone Design 2026
PUB NCR
Electromyography (EMG) systems are used to evaluate electrical muscle activity and motor control. While these systems started as basic oscilloscopes, advancements in electrical engineering technology have not only allowed these systems to become digitalized, but also greatly improve in accuracy. One of the main barriers to the widespread use of EMG systems in exercise physiology and rehabilitation field is the high cost of the industrial EMG systems. The goal of this project is to utilize modern electrical engineering components to create a customized cost-effective EMG system with accuracy close to that of standard industrial systems. This will be accomplished by first collecting electrical signals from muscles with surface EMG sensors. These signals will then be fed into a high-performance microcontroller, which will digitize and display the data onto an external computer.
