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Effects of Myoelectric Channel Count and Targeting for Upper Limb Prosthetic Control
Sponsor: Liberating Technologies, Inc.
Summary
The goal of this clinical trial is to systematically evaluate whether or not two commonly held fundamental assumptions for pattern recognition control translates to functional performance when tested on individuals aged 18 years or older with upper limb absence at the transradial level while wearing a physical prosthesis. The specific aims of this study are: 1. To evaluate the effect of changing untargeted myoelectric channel count on the functional performance of transradial prosthesis users wearing a fully functional prosthesis via functional outcomes measures such as the Box and Blocks test. 2. To evaluate the effect of changing myoelectric channel targeting of a fixed number of myoelectric channels on the functional performance of transradial prosthesis users wearing a fully functional prosthesis via functional outcomes measures such as the Box and Blocks test. Researchers will perform a randomized crossover study to compare system configurations with different number of sensor channels and with various strategies for sensor placement on the limb. Participants will be assigned to a random test sequence that includes the following four different EMG channel conditions: Condition A: 4 untargeted channels Condition B: 8 untargeted channels Condition C: Up to 16 untargeted channels Condition D: 8 targeted channels Researchers will evaluate the effects of changing myoelectric channel counts on the functional prosthesis performance of individuals with transradial limb loss via functional outcome measures. Participants will: * Attend up to 5 in-lab sessions that are expected to last 4 hours. * Conduct site visits every 1-2 weeks to complete functional and self reported outcome measures with each condition. * Play virtual games with the Coapt Cuff for 15 minutes a day, 3 days a week in between visits.
Official title: Evaluation of Functional Performance of Persons With Limb Differences to Optimize Pattern Recognition Control of Powered Upper Limb Prosthesis
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
32
Start Date
2025-10
Completion Date
2026-06
Last Updated
2025-09-03
Healthy Volunteers
No
Conditions
Interventions
Experimental socket with 4 untargeted channels active
Participants will utilize the experimental socket made with untargeted EMG channels. Untargeted sites will ideally be located by creating a band of electrode pairs at the largest muscular circumference distal to the elbow. Only 4 channels will be active during this condition.
Experimental socket with 8 untargeted channels active
Participants will utilize the experimental socket made with untargeted EMG channels. Untargeted sites will ideally be located by creating a band of electrode pairs at the largest muscular circumference distal to the elbow. Only 8 channels will be active during this condition.
Experimental socket with up to 16 untargeted channels active
Participants will utilize the experimental socket made with untargeted EMG channels. Untargeted sites will ideally be located by creating a band of electrode pairs at the largest muscular circumference distal to the elbow. All16 channels (or the maximum number of channels based on limb size) will be active during this condition.
Experimental socket with 8 targeted channels active
Participants will utilize the experimental socket made with targeted EMG channels. This socket will follow Coapt's clinical instructions for targeted site location to identify and mark locations for 8 targeted EMG channels.
Coapt EMG Cuff
This device is the commercially available Coapt EMG Cuff. This armband cuff with electrodes can be strapped onto the user's arm to connect with the Coapt app and play virtual games with their EMG signals.
Locations (2)
Shirley Ryan AbilityLab
Chicago, Illinois, United States
Liberating Technologies, Inc.
Holliston, Massachusetts, United States