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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)
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… read more

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)
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… read more

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)
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… read more

A Novel Multi-Feature Fusion Network with Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition

A Novel Multi-Feature Fusion Network with Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Effectively integrating the time-space-frequency information of multi-modal signals from armband sensor, including surface electromyogram (sEMG) and accelerometer data, is critical for accurate gesture recognition. Existing approaches often neglect the abundant… read more

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The objective of this study was to propose a novel strategy for detecting upper-limb motion intentions from mechanical sensor signals using deep and heterogeneous transfer learning techniques. Three sensor types,… read more

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The objective of this study was to propose a novel strategy for detecting upper-limb motion intentions from mechanical sensor signals using deep and heterogeneous transfer learning techniques. Three sensor types,… read more

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The objective of this study was to propose a novel strategy for detecting upper-limb motion intentions from mechanical sensor signals using deep and heterogeneous transfer learning techniques. Three sensor types,… read more

Kinematic Assessment of Upper Limb Movements using the ArmeoPower Robotic Exoskeleton

Kinematic Assessment of Upper Limb Movements using the ArmeoPower Robotic Exoskeleton 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
After a neurological injury, neurorehabilitation aims to restore sensorimotor function of patients. Technological assessments can provide high-quality data on a patient’s performance and support clinical decision making towards the most… read more

Neuromuscular mechanisms of motor adaptation to repeated treadmill-slip perturbations during stance in healthy young adults.

Neuromuscular mechanisms of motor adaptation to repeated treadmill-slip perturbations during stance in healthy young adults. 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Treadmill-based repeated perturbation training (PBT) induces motor adaptation in reactive balance responses, thus lowering the risk of slip-induced falls. However, little evidence exists regarding intervention-induced changes in neuromuscular control underlying… read more

An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning

An Efficient Framework for Personalizing EMG-Driven Musculoskeletal Models Based on Reinforcement Learning 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This study aimed to develop a novel framework to quickly personalize electromyography (EMG)-driven musculoskeletal models (MMs) as efferent neural interfaces for upper limb prostheses. Our framework adopts a generic upper-limb… read more