This technology is a simple, lightweight cable-driven exoskeleton that can be used for physical rehabilitation and gait training.
Gait training for patients with neural impairments or other movement disorders typically requires long hours with a trained therapist. While robotics have emerged as a promising alternative, current models suffer from bulky designs that can lead to misalignment with the patient’s joints and a restricted range of motion.
This technology is a cable-driven exoskeleton that offers a lightweight, robotic alternative without limiting the patient’s range of motion and reduces the risk of injury due to improper alignment. The device is composed of lightweight adapters that attach to the patient’s legs. Externally supported cables are routed through these adapters and work to support the patient while driving the leg’s range of motion. Strategically placed sensors enable data to be collected from the tension, angle of movement, and the patient’s overall performance during use to better assist in improving gait rehabilitation. This simplified system reduces unnecessary stress on the joints and the risk of injury due to incorrect alignment with the exoskeleton, and can be adapted for patients of different ages, weights, and states of mobility.
This exoskeleton design has been tested with human subjects using a treadmill to demonstrate the ability to accurately track a prescribed ankle path.
Banala SK, Kim SH, Agrawal SK, Scholz JP. “Robot assisted gait training with active leg exoskeleton (ALEX)” IEEE Trans Neural Syst Rehabil Eng. 2009 Feb 17;(1):2-8.
Jin X, Cui X and Agrawal SK. “Design of a cable-driven active leg exoskeleton (C-ALEX) and gait training experiments with human subjects.” IEEE international conference on robotics and automation (ICRA). May 2015.
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current models suffer
externally supported cables
sensors enable data
prescribed ankle path
ieee international conference