IEEE Transactions on Neural Systems and Rehabilitation Engineering

Trial-by-trial Variability of TMS-EEG in Healthy Controls and Patients with Depressive Disorder

Trial-by-trial Variability of TMS-EEG in Healthy Controls and Patients with Depressive Disorder 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Objective: Depressive disorder has been known to be associated with high variability in resting-state electroencephalography (EEG) signals. However, this phenomenon is often ignored in stimulus-related brain activities. This study proposed… read more

Obstacle Avoidance in Healthy Adults and People with Multiple Sclerosis: Preliminary fNIRS Study

Obstacle Avoidance in Healthy Adults and People with Multiple Sclerosis: Preliminary fNIRS Study 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This study examined how gait adaptation during predictable and non-predictable obstacle avoidance affects the sensorimotor network in both healthy controls (HC) and persons with multiple sclerosis (pwMS). We utilized fNIRS… read more

Correction to “Enhancing Detection of Control State for High-Speed Asynchronous SSVEP-BCIs Using Frequency-Specific Framework”

Correction to “Enhancing Detection of Control State for High-Speed Asynchronous SSVEP-BCIs Using Frequency-Specific Framework” 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
IN the above article [1], we found the formula (1) is presented incorrectly because of an error in the formula editing process. The correction is as follows: ITR=[log2K+Plog2P+(1−p)log2(1-P/K-1)]×60/T (1) read more

A Novel Multi-Feature Fusion Network with Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition

A Novel Multi-Feature Fusion Network with Spatial Partitioning Strategy and Cross-Attention for Armband-Based Gesture Recognition 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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

Enhancing ERD Activation and Functional Connectivity via the Sixth-finger Motor Imagery in Stroke Patients

Enhancing ERD Activation and Functional Connectivity via the Sixth-finger Motor Imagery in Stroke Patients 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor imagery (MI) is widely employed in stroke rehabilitation due to the event-related desynchronization (ERD) phenomenon in sensorimotor cortex induced by MI is similar to actual movement. However, the traditional… read more

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system

Improved transfer learning for detecting upper-limb movement intention using mechanical sensors in an exoskeletal rehabilitation system 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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

Controlling Powered Prosthesis Kinematics over Continuous Inter-Leg Transitions Between Walking and Stair Ascent/Descent

Controlling Powered Prosthesis Kinematics over Continuous Inter-Leg Transitions Between Walking and Stair Ascent/Descent 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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… read more

Kinematic Assessment of Upper Limb Movements using the ArmeoPower Robotic Exoskeleton

Kinematic Assessment of Upper Limb Movements using the ArmeoPower Robotic Exoskeleton 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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

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