Training

Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation
Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Objective: The supervised decoding algorithms of Steady-State Visual Evoked Potentials (SSVEP) have achieved remarkable performance with sufficient training data. However, these methods have typically failed to achieve acceptable performance in… read more

Hidden Brain State-based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-machine Interfaces
Hidden Brain State-based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-machine Interfaces 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Reinforcement learning (RL)-based brain machine interfaces (BMIs) assist paralyzed people in controlling neural prostheses without the need for real limb movement as supervised signals. The design of reward signal significantly… read more

Electrophysiological evidence on mirror therapy for promoting perceptuo-motor processes in stroke patients
Electrophysiological evidence on mirror therapy for promoting perceptuo-motor processes in stroke patients 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Mirror therapy is proposed to enhance post-stroke awareness of the affected limb and mental ability, but convincing evidence on the perceptuo-motor processes is insufficient. In this study, we aimed to… read more

An Asynchronous Training-free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios
An Asynchronous Training-free SSVEP-BCI Detection Algorithm for Non-Equal Prior Probability Scenarios 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
SSVEP-based brain-computer interface (BCI) systems have received a lot of attention due to their relatively high Signal to Noise Ratio (SNR) and less training requirements. Most of the existing steady-state… read more

Theory-Driven EEG Indexes for Tracking Motor Recovery and Predicting the Effects of Hybridizing tDCS With Mirror Therapy in Stroke Patients
Theory-Driven EEG Indexes for Tracking Motor Recovery and Predicting the Effects of Hybridizing tDCS With Mirror Therapy in Stroke Patients 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Stroke remains a leading cause of adult disability, underscoring why research continues to focus on advancing new treatment methods and neurophysiological indexes. While these studies may be effective, many lack… read more

Comparing Powered Wheelchair Driving Characteristics of Real Driving and Two Types of Simulated Driving
Comparing Powered Wheelchair Driving Characteristics of Real Driving and Two Types of Simulated Driving 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
We aimed to gather evidence on the feasibility of using simulator-based driving assessments for prescribing powered mobility devices (PMDs). Therefore, we compared the driving characteristics of real driving and two… 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 Fusion Dimension Reduction Method for the Features of Surface Electromyographic Signals
A Fusion Dimension Reduction Method for the Features of Surface Electromyographic Signals 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Surface electromyographic signals (sEMG) usually have high-dimensional properties, and direct processing of these data consumes significant computational resources. Dimensionality reduction processing can reduce the dimension of the data and improve… 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

Brain Activation Pattern Caused by Soft Rehabilitation Glove and Virtual Reality Scenes: A Pilot fNIRS Study
Brain Activation Pattern Caused by Soft Rehabilitation Glove and Virtual Reality Scenes: A Pilot fNIRS Study 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Clinical studies have proved significant improvements in hand motor function in stroke patients when assisted by robotic devices. However, there were few studies on neural activity changes in the brain… read more
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