Improving Myoelectric Prosthetic and Orthotic Limb Control Using Predictive Regression Algorithms and High-count Surface Electrodes

Summary

The purpose of this study is to improve control of myoelectrically-controlled advanced orthotic devices (an exoskeleton device that use the body's muscle signals to drive movements of a robotic brace) by using advanced predictive decode algorithms, and the use of high count (\> 8) surface electromyographic (sEMG) electrodes.

Description

Eligibility

Age range

18–70 years

Sex

All

Healthy volunteers

Yes

Interventions

• Other
  commercially available control algorithm

  Control of the prosthesis/orthosis is based on clinical standard of care using commercially available control algorithms.

• Other
  experimental control algorithm

  Control of the orthosis is based on residual muscle activity mapped to intended movement using high density electromyography and artificial intelligence control algorithms.

Location