IEEE Transactions on Neural Systems and Rehabilitation Engineering – Early Access

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

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

A Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition

A Novel Dual-Model Adaptive Continuous Learning Strategy for Wrist-sEMG Real-Time Gesture Recognition 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Surface electromyography (sEMG) is a promising technology for hand gesture recognition, yet faces challenges in user mobility and individual calibration. This paper introduces a novel dual-model adaptive continuous learning (DM-ACL)… read more

Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types

Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
A long-term gait-balance monitoring system for various terrain types was developed using an inertial measurement unit (IMU) and deep-learning model. The system aims to identify unstable gait caused by lower-limb… read more

Investigating the Stroke- and Aging-related Changes in Intermuscular Coupling by Refined Composed Multiscale Fuzzy Entropy

Investigating the Stroke- and Aging-related Changes in Intermuscular Coupling by Refined Composed Multiscale Fuzzy Entropy 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Although the entropy algorithm is widely applied in signal complexity analysis, its stability and reliability are limited due to the existence of abnormal signal points. In order to explore the… read more

Low-Intensity Focused Ultrasound Stimulation on Fingertip Can Evoke Fine Tactile Sensations and Different Local Hemodynamic Responses

Low-Intensity Focused Ultrasound Stimulation on Fingertip Can Evoke Fine Tactile Sensations and Different Local Hemodynamic Responses 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Low-intensity focused ultrasound stimulation (LIFUS) has been proved effective in eliciting vibrotactile in addition to warm, cold and nociceptive pain when applied to human peripheral endings. However, if it can… read more

Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface

Semi-Autonomous Continuous Robotic Arm Control Using an Augmented Reality Brain-Computer Interface 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Noninvasive augmented-reality (AR) brain-computer interfaces (BCIs) that use steady-state visually evoked potentials (SSVEPs) typically adopt a fully-autonomous goal-selection framework to control a robot, where automation is used to compensate for… read more

FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding

FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery brain-computer interface (MI-BCI) based on non-invasive electroencephalogram (EEG) signals is a typical paradigm of BCI. However, existing decoding methods face significant challenges in terms of signal decoding accuracy,… read more

A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection

A Wearable Brain-Computer Interface With Fewer EEG Channels for Online Motor Imagery Detection 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery-based brain-computer interfaces (MI-BCIs) have significant potential for neurorehabilitation and motor recovery. However, most BCI systems employ multi-channel electroencephalogram (EEG) recording devices, during which the pre-experimental preparation and post-experimental… read more

Reducing Knee Joint Loads During Stance Phase With a Rigid-Soft Hybrid Exoskeleton

Reducing Knee Joint Loads During Stance Phase With a Rigid-Soft Hybrid Exoskeleton 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
High mechanical loads generated during walking may accelerate the wear of the knee joint. General knee exoskeletons mainly reduce knee joint load by applying pure torque assistance to reduce the… read more