Virtual reality environment for simulating tasks with a myoelectric prosthesis: an assessment and training tool

Area of Science:

• Biomedical Engineering
• Rehabilitation Robotics
• Human-Computer Interaction

Background:

• Controlling multi-degree-of-freedom upper limb prosthetics presents significant challenges.
• Existing methods for testing prosthetic control algorithms are often costly and time-consuming.

Purpose of the Study:

• To develop a cost-effective virtual reality (VR) myoelectric transhumeral prosthesis simulator.
• To evaluate novel control algorithms and prosthetic devices in a simulated environment.

Main Methods:

• The system integrates electromyography (EMG) signals and residual limb kinematics.
• It simulates prosthesis dynamics and incorporates force feedback for object interaction.
• A virtual Box and Block Test was used to assess control methods.

Main Results:

• Subjects using the VR simulator achieved performance comparable to transhumeral amputees using physical prostheses.
• Both sequential and synchronous control methods yielded similar results in the simulated Box and Block Test.
• The simulator demonstrated its capability to replicate real-world prosthetic task performance.

Conclusions:

• The VR prosthesis simulator is a viable and promising tool for developing and evaluating prosthetic control strategies.
• It offers a cost-effective platform for prototyping new prosthetic devices.
• The simulator can be utilized for training amputees in prosthetic control techniques.