Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networks

Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networks 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:

Joint torque prediction is crucial when investigating biomechanics, evaluating treatments, and designing powered assistive devices. Controllers in assistive technology require reference torque trajectories to set the level of assistance for a patient during rehabilitation or aiding essential daily tasks such as sit-to-walk (STW). STW itself can be generalized into strategies …

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