This project is a Functional Electrical Stimulation (FES) coaching application designed for spinal cord injury (SCI) patients to aid them in rowing exercises using an FES-rowing ergometer. The app helps users by automatically switching electrical stimulation between hamstring and quadriceps muscle groups, improving their ability to engage in physical activity and rehabilitation exercises. May 2024 - August 2024 for University Health Network (UHN) and Motion & Adaptation Science Laboratory (MASL).
- Timed Muscle Stimulation: Automatically controls the switching of FES between muscle groups (hamstrings and quadriceps) based on a set schedule.
- User-Friendly Interface: Designed for ease of use, providing clear indicators of stimulation timing and muscle activity.
- Real-Time Data Acquisition: Integrated with NI Data Acquisition Interface for real-time data monitoring.
- Customizable Settings: Allows customization of stimulation intervals to suit the user’s rehabilitation plan.
- Testing Compatibility: Successfully tested with an FES-rowing ergometer, demonstrating clinical feasibility.
- Programming Language: Python
- Data Interface: NI Data Acquisition (NI DAQ)
- Development Tools: Integrated with FES-rowing ergometer for real-time testing
- User Interface: Developed using Python libraries for easy interaction and control