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…
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Controlling Powered Prosthesis Kinematics Over Continuous Inter-Leg Transitions Between Walking and Stair Ascent/Descenthttps://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
Although powered prosthetic legs have enabled more biomimetic joint kinematics during steady-state activities like walking and stair climbing, transitions between these activities are usually handled by discretely switching controllers without…
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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…
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Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activitieshttps://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
Decoding movement intentions from motor unit (MU) activities remains an ongoing challenge, which restricts our comprehension of the intricate transition mechanism from microscopic neural drive to macroscopic movements. This study…
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Closed-Loop Deep Brain Stimulation With Reinforcement Learning and Neural Simulationhttps://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
Deep Brain Stimulation (DBS) is effective for movement disorders, particularly Parkinson’s disease (PD). However, a closed-loop DBS system using reinforcement learning (RL) for automatic parameter tuning, offering enhanced energy efficiency…
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From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer 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
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing upper extremity movements.…
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Continuous Short-Term Pain Assessment in Temporomandibular Joint Therapy Using LSTM Models Supported by Heat-Induced Pain Data Patternshttps://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 aims to design a time-continuous pain level assessment system for temporomandibular joint therapy. Our objectives cover verifying literature suggestions on pain stimulus, protocols for collecting reference data, and…
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An OpenSim-Based Closed-Loop Biomechanical Wrist Model for Subject-Specific Pathological Tremor Simulationhttps://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
Objective: A pathological tremor (PT) is an involuntary rhythmic movement of varying frequency and amplitude that affects voluntary motion, thus compromising individuals’ independence. A comprehensive model incorporating PT’s physiological and…
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Author(s)3: Taian Vieira, Giacinto Luigi Cerone, Laura Gastaldi, Stefano Pastorelli, Liliam F. Oliveira, Marco Gazzoni, Alberto Botter
Design and Test of a Biomechanical Model for the Estimation of Knee Joint Angle During Indoor Rowing: Implications for FES-Rowing Protocols in Paraplegiahttps://www.embs.org/tnsre/wp-content/uploads/sites/15/2018/11/Capture-e1542403077419.png367440Transactions 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
Functional electrical stimulation of lower limb muscles during rowing provides a means for the cardiovascular conditioning in paraplegia. The possibility of shaping stimulation profiles according to changes in knee angle,…
Author(s)3: Eero Väyrynen, Kai Noponen, Ashwati Vipin, X. Y. Thow, Hasan Al-Nashash, Jukka Kortelainen
Automatic Parametrization of Somatosensory Evoked Potentials With Chirp Modelinghttps://www.embs.org/tnsre/wp-content/uploads/sites/15/2016/09/kortelainen.jpg780435Transactions 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
In this paper, an approach using polynomial phase chirp signals to model somatosensory evoked potentials (SEPs) is proposed. SEP waveforms are assumed as impulses undergoing group velocity dispersion while propagating…