Predictive models

Prediction of rTMS Efficacy in Patients with Essential Tremor: Biomarkers from Individual Resting-state EEG Network
Prediction of rTMS Efficacy in Patients with Essential Tremor: Biomarkers from Individual Resting-state EEG Network 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The pathogenesis of essential tremor (ET) remains unclear, and the efficacy of related drug treatment is inadequate for proper tremor control. Hence, in the current study, consecutive low-frequency repetitive transcranial… read more

Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals
Recurrent Neural Network Enabled Continuous Motion Estimation of Lower Limb Joints From Incomplete sEMG Signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Decoding continuous human motion from surface electromyography (sEMG) in advance is crucial for improving the intelligence of exoskeleton robots. However, incomplete sEMG signals are prevalent on account of unstable data… read more

MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions
MEFFNet: Forecasting Myoelectric Indices of Muscle Fatigue in Healthy and Post-Stroke During Voluntary and FES-Induced Dynamic Contractions 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Myoelectric indices forecasting is important for muscle fatigue monitoring in wearable technologies, adaptive control of assistive devices like exoskeletons and prostheses, functional electrical stimulation (FES)-based Neuroprostheses, and more. Non-stationary temporal… read more

An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm
An Adaptive Hammerstein Model for FES-Induced Torque Prediction Based on Variable Forgetting Factor Recursive Least Squares Algorithm 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Modeling the muscle response to functional electrical stimulation (FES) is an important step during model-based FES control system design. The Hammerstein structure is widely used in simulating this nonlinear biomechanical… read more
Bilevel Optimization for Cost Function Determination in Dynamic Simulation of Human Gait

Bilevel Optimization for Cost Function Determination in Dynamic Simulation of Human Gait
Author(s)3: Vinh Q. Nguyen, Russell T. Johnson, Frank C. Sup, Brian R. Umberger
Bilevel Optimization for Cost Function Determination in Dynamic Simulation of Human Gait 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

      Predictive simulation based on dynamic optimization using musculoskeletal models is a powerful approach for studying human gait. Predictive musculoskeletal simulation may be used for a variety of applications…

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Representative touchscreen layouts for task 2

A Model to Estimate the Optimal Layout for Assistive Communication Touchscreen Devices in Children With Dyskinetic Cerebral Palsy
Author(s)3: Matteo Bertucco, Terence D. Sanger
A Model to Estimate the Optimal Layout for Assistive Communication Touchscreen Devices in Children With Dyskinetic Cerebral Palsy 641 268 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

  Excess involuntary movements and slowness of movement in children with dyskinetic cerebral palsy often result in the inability to properly interact with augmentative and alternative communication (AAC) devices. This…

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