Optimizing EMG Signal Processing and Machine Learning for Prosthetic Thumb Control
Summary
The purpose of this research study is to develop a machine learning model to classify electromyography (EMG) signals for thumb movement, with the long term goal of creating a continuous, near real time (NRT) model control system for prosthetic thumbs.
Eligibility
Eligible ages: 18 to 30
Accepts healthy participants: Yes
Inclusion criteria:
1. No underlying muscle conditions.
2. No allergies to Silver or adhesive/conductive gel.
3. No irritation to the wrist, thumb or forearm.
4. No existing implanted medical device within the forearm/hand.
Participate
Additional information
Contact information
emily.ostapiuk1@ucalgary.ca
Principal investigator:
Junho Park
Clinical trial:
No
REB-ID:
REB25-1574