Control within a virtual environment is correlated to functional outcomes when using a physical prosthesis
Related Experiment Video
Updated: Feb 4, 2026

Controlled Rotation of Human Observers in a Virtual Reality Environment
Published on: April 21, 2022
Levi Hargrove1,2, Laura Miller3,4, Kristi Turner3
1Shirley Ryan AbilityLab, 355 E. Erie Street, Chicago, IL, 60611, USA. l-hargrove@northwestern.edu.
Background:
Advances such as targeted muscle reinnervation and pattern recognition control may provide improved control of upper limb myoelectric prostheses, but evaluating user function remains challenging. Virtual environments are cost-effective and immersive tools that are increasingly used to provide practice and evaluate prosthesis control, but the relationship between virtual and physical outcomes-i.e., whether practice in a virtual environment translates to improved physical performance-is not understood.
Methods:
Nine people with transhumeral amputations who previously had targeted muscle reinnervation surgery were fitted with a myoelectric prosthesis comprising a commercially available elbow, wrist, terminal device, and pattern recognition control system. Virtual and physical outcome measures were obtained before and after a 6-week home trial of the prosthesis.
Results:
After the home trial, subjects showed statistically significant improvements (p < 0.05) in offline classification error, the virtual Target Achievement Control test, and the physical Southampton Hand Assessment Procedure and Box and Blocks Test. A trend toward improvement was also observed in the physical Clothespin Relocation task and Jebsen-Taylor test; however, these changes were not statistically significant. The median completion time in the virtual test correlated strongly and significantly with the Southampton Hand Assessment Procedure (p = 0.05, R = - 0.86), Box and Blocks Test (p = 0.007, R = - 0.82), Jebsen-Taylor Test (p = 0.003, R = 0.87), and the Assessment of Capacity for Myoelectric Control (p = 0.005,R = - 0.85). The classification error performance only had a significant correlation with the Clothespin Relocation Test (p = 0.018, R = .76).
Conclusions:
In-home practice with a pattern recognition-controlled prosthesis improves functional control, as measured by both virtual and physical outcome measures. However, virtual measures need to be validated and standardized to ensure reliability in a clinical or research setting.
Trial Registration:
This is a registered clinical trial: NCT03097978 .
More Related Videos
09:01Development of an Audio-based Virtual Gaming Environment to Assist with Navigation Skills in the Blind
Published on: March 27, 2013
11:16Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
Published on: July 22, 2014
Related Concept Videos
Physical Methods for Controlling Microbial Growth: Temperature
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlations
Physical Methods for Controlling Microbial Growth: Radiation and Filtration
Transfer Function in Control Systems
To derive the transfer function, consider a general nth-order linear time-invariant...
Virtual Work
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...