Researchers at Colorado State University have developed an automated external fixation system that improves bone healing after major injuries. The device uses small motors and sensors to move bone segments with precise timing and forceāno manual adjustments needed. By automating this process, the system reduces patient error and shortens recovery time. It also adapts to individual healing rates, offering a personalized approach to bone regeneration.
Critical bone defects from trauma, cancer surgery, or infection are difficult to treat and often result in long hospital stays and repeat surgeries. Traditional bone transport methods rely on manual adjustments that can be inconsistent and disruptive to healing tissues. This new technology replaces manual manipulation with a programmable, motor-driven system that optimizes bone movement and healing efficiency. The approach represents a significant step toward intelligent orthopedic devices that enhance recovery outcomes and patient comfort.
This automated bone transport device builds upon known circular external fixation system but replaces manual turning of screws with a compact, detachable motor and lead screw assembly. The system moves a bone segment in micrometer-scale steps, precisely controlled by an Arduino-based circuit and real-time clock. Users can program distraction rate, frequency, and timing, with confirmation alerts automatically sent when movement occurs.
In laboratory and preclinical ovine studies, the CSU design demonstrated mechanical reliability and accurate movement across 30 mm bone defects. The single-motor configuration generated distraction forces up to 160 N, comparable to forces seen in clinical settings, while reducing size, weight, and cost compared to dual-motor systems. Bone healing restored up to 80% of normal bone volume and 70% of stiffness in preclinical testing. An optional strain gauge system enables the device to automatically adjust movement rates based on real-time tissue resistance, offering personalized, data-driven healing control.
Available for Exclusive Licensing, Collaboration or Funding
US Provisional Patent
Chloe Brekhus
Ben Gadomski
Steve Foster
Steve.Foster@colostate.edu
970-491-7100