Material Detail

An open educational resource module presenting a rigorous systems-level treatment of Rehabilitation Engineering. Explores assistive and rehabilitative technologies including powered lower-limb exoskeletons, bionic upper-limb prosthetics, Ankle-Foot Orthoses (AFOs), seating biomechanics, and augmentative communication (AAC). Integrates contemporary 2026 computational paradigms, including Physics-Informed Neural Networks (PINNs) solving musculoskeletal Hill-type dynamics and Euler-Lagrange equations, Invariant Extended Kalman Filtering (IEKF) on the Lie group SE(3), and deep reinforcement learning admittance control. Features a structured systems engineering trade-off matrix, an interactive canvas gait trajectory simulator with adjustable motor torque and cadence, and three tiers of self-assessment problems with complete quantitative solutions.

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