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Updated: Jul 11, 2026

Deep-Learning Based Multi-Joint Synchronous Tracking for Objective Quantification of Hindlimb Locomotor Kinematics in Rats
Published on: April 3, 2026
Johan van Doornik1, Thomas Sinkjaer
1Division of Child Neurology and Movement Disorders, Stanford University, Stanford, CA 94305-5235, USA. jvd@stanford.edu
This study developed a 4-DOF platform for human gait research, applying controlled floor perturbations. The device accurately induced distinct ankle extensor reflex responses during walking, demonstrating its utility in studying human locomotion.
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