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JONT-LAB Musculoskeletal Biomechanics graphic featuring a wooden mannequin figure and geometric line patterns on an orange background.

What we do

The Joint Lab, in the College of Engineering at UTEP, focuses on applying engineering and biomechanical principles to understand and prevent human joint injuries and degenerative diseases such as osteoarthritis. We combine experimental and computational approaches to further our understanding of joint biomechanics during highly-dynamic daily activities as well as injury situations. Our other goal is to train undergraduate and graduate students in performing relevant quality research in musculoskeletal biomechanics.

In addition, the Lab established a strong collaboration with LIMBS International to develop and test low-cost highly-functional prosthetic solutions for the developing world. This interdisciplinary research environment provides our students with novel and exciting research and engineering projects.

 

Projects

Technical diagram showing a mechanical testing apparatus with a cylindrical specimen, load frame, and fixture components.

Active-mixing Hotend in Fused Filament Fabrication

Local control of mechanical properties through multi-material blending in fused filament fabrication with an active-mixing hotend (patent-pending).

 

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Scientific diagram showing a knee model, ACL components, exploded views, and anatomical load orientation configurations.

Synthetic ACL development using Local Composition Control

A reconfigurable multiplanar in vitro simulator for real-time absolute motion with external and musculotendon forces.

 

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Computer generated model of a biomechanical testing system showing a cadaver knee suspended between hip and ankle manipulators inside a testing frame.

Joint Load Simulator

Synthetic tissue development using local composition control to biomimic functional gradients and simulate physiological load response.

 

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LIMBS M3 device mounted on a Google Coral board with labeled X, Y, and Z coordinate axes and two sensors.

Prosthetic Knee Stumble Detection using Machine Learning

Prosthetic Knee Stumble Detection using Machine Learning.

 

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Annotated image of manufactured test specimens highlighting interface defects, edge defects, ambient surface temperature, and laser speed conditions.

Additional Research Topics

 

 

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