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Welcome to Our Group

The Neuromuscular Rehabilitation Engineering Laboratory (NREL) investigates the control mechanism of neuromuscular system in normal and neurologically disordered persons, develops advanced neural-machine interfacing technologies, and applies these techniques to neural control of prosthetics, orthotics, computers, and other assistive devices. Our research goal is to improve the quality of life of persons with physical disabilities.

Recent Research Videos

 

This video demonstrates the real-time EMG-driven musculoskeletal model-based control of a virtual hand on a computer screen by an able-bodied participant. The virtual hand closely mimics the participant's own movements, even when both the wrist and finger joints are moved simultaneously.

Crouch DL, Huang H. Simple EMG-Driven Musculoskeletal Model Enables Consistent Control Performance During Path Tracing Tasks. Proceedings of 38th Annual Meeting of the IEEE Engineering in Medicine and Biology Society, 2016.  

 

 

NSF Science Now: Episode 37 featured our research!

 

We are now recruiting participants for our research studies to test new software and devices that give amputees more control.

 

We were pleased to host NCSU Chancellor Randy Woodson and College of Engineering Dean Louis Martin-Vega and explain our work in March 2017.

 

Journal of Neural Engineering accepted Dustin Crouch's article, "Musculoskeletal model-based control interface mimics physiologic hand dynamics during path tracing task."

 

Congratulations to Shane King and Brian Kim, who received the 2016-2017 Abrams Scholarship from the UNC/NCSU Joint Department of Biomedical Engineering!

 

Undergraduate students Benjamin Kantner, Christopher Mehling, Minh Tran, and Vibhavari Vempala each received grants from NCSU Office of Undergraduate Research. Great job, everyone!

 

 

"D. Crouch, H. Huang, "Musculoskeletal model-based control interface mimics physiologic hand dynamics during path tracing task", Journal of Neural Engineering, 2017 (Accepted)

 

D. Crouch, H. Huang, "Lumped-Parameter Electromyogram-Driven Musculoskeletal Hand Model: A Potential Platform For Real-Time Control", Journal of Biomechanics, 2016 (In press)