Electrodes

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

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

Synergy-Based Estimation of Balance Condition During Walking Tests
Synergy-Based Estimation of Balance Condition During Walking Tests 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
In the area of human-machine interface research, the continuous estimation of the Center of Pressure (COP) in the human body can assess users’ balance conditions, thereby effectively enhancing the safety… read more

Changes in Spatiotemporal Variability of Muscular Response under the Influence of Post-stroke Spasticity
Changes in Spatiotemporal Variability of Muscular Response under the Influence of Post-stroke Spasticity 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Spasticity is characterized by involuntary muscle activation due to the hyperexcitability of the stretch reflex. However, the temporal pattern and spatial heterogeneity of motor unit recruitment in this activation are… read more

Automatic Reconstruction of Deep Brain Stimulation Lead Trajectories From CT Images Using Tracking and Morphological Analysis
Automatic Reconstruction of Deep Brain Stimulation Lead Trajectories From CT Images Using Tracking and Morphological Analysis 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Deep brain stimulation (DBS) is an effective treatment for neurological disorders, and accurately reconstructing the DBS lead trajectories is crucial for MRI compatibility assessment and surgical planning. This paper presents… read more

HDE-Array: Development and Validation of a New Dry Electrode Array Design to Acquire HD-sEMG for Hand Position Estimation
HDE-Array: Development and Validation of a New Dry Electrode Array Design to Acquire HD-sEMG for Hand Position Estimation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This paper aims to introduce HDE-Array (High-Density Electrode Array), a novel dry electrode array for acquiring High-Density surface electromyography (HD-sEMG) for hand position estimation through RPC-Net (Recursive Prosthetic Control Network),… read more

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)
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 a… 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

Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activities
Neuro-Musculoskeletal Modeling for Online Estimation of Continuous Wrist Movements from Motor Unit Activities 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
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… read more

Identification of Spared and Proportionally Controllable Hand Motor Dimensions in Motor Complete Spinal Cord Injuries Using Latent Manifold Analysis
Identification of Spared and Proportionally Controllable Hand Motor Dimensions in Motor Complete Spinal Cord Injuries Using Latent Manifold Analysis 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The loss of bilateral hand function is a debilitating challenge for millions of individuals that suffered a motor-complete spinal cord injury (SCI). We have recently demonstrated in eight tetraplegic individuals… read more
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