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A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study

Published on: November 6, 2015

Lumped-parameter electromyogram-driven musculoskeletal hand model: A potential platform for real-time prosthesis

Dustin L Crouch¹, He Huang¹

¹UNC-NC State Joint Department of Biomedical Engineering, North Carolina State University, Raleigh, NC 27695, USA.

Journal of Biomechanics

|November 6, 2016

Summary

A simple, EMG-driven musculoskeletal model accurately predicts wrist and metacarpophalangeal joint movements. This model shows promise for controlling advanced upper limb prostheses in real-time applications.

Keywords:

Amputation Optimization Parameter Simulation Wrist

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Area of Science:

Biomechanics
Musculoskeletal modeling
Prosthetics

Background:

Simple, lumped-parameter musculoskeletal models offer practical advantages for real-time clinical applications like prosthesis control.
Electromyography (EMG)-driven models are being explored for their potential in dynamic simulations.

Purpose of the Study:

To evaluate a lumped-parameter, EMG-driven musculoskeletal model with four muscles for predicting wrist and metacarpophalangeal (MCP) joint flexion/extension.
To assess the model's adaptability for clinical applications, including prosthesis control.

Main Methods:

Collected simultaneous forearm EMG signals and joint kinematics from able-bodied (AB) subjects and one unilateral transradial amputation (TRA) subject.
Optimized 22 model parameters using EMG-driven forward dynamic simulation to match measured kinematics.
Employed cross-validation with Pearson's correlation coefficient (r) to assess kinematic prediction accuracy.

Main Results:

High positive correlations (r > 0.88) between predicted and measured joint angles at the wrist and MCP joints during single-joint movements for AB and TRA subjects.
Reduced prediction accuracy (r=0.56) at the MCP joint during simultaneous multi-joint movement for the TRA subject.
Model-predicted passive and maximum isometric joint moments were comparable to experimental data.

Conclusions:

A lumped-parameter musculoskeletal model demonstrates significant potential for estimating hand/wrist kinematics.
The model may be valuable for EMG control of powered upper limb prostheses, pending further online performance validation.