Lower Limb Torque Prediction for Sit-To-Walk Strategies Using Long Short-Term Memory Neural Networkshttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 Networkshttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 Networkshttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 Recognitionhttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 systemhttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 systemhttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 systemhttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 Exoskeletonhttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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.https://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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 Learninghttps://www.embs.org/tnsre/wp-content/themes/movedo/images/empty/thumbnail.jpg150150Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)//www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png
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