Trajectory

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
A Swing-Assist Controller for Enhancing Knee Flexion in a Semi-Powered Transfemoral Prosthesis

A Swing-Assist Controller for Enhancing Knee Flexion in a Semi-Powered Transfemoral Prosthesis
A Swing-Assist Controller for Enhancing Knee Flexion in a Semi-Powered Transfemoral Prosthesis 789 444 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This work proposes a new swing controller for semi-powered low impedance transfemoral prostheses that resolves the issue of potentially competing inputs between artificial assistive power and user-sourced power. Rather than… 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

Reconstructing Multi-Stroke Characters from Brain Signals toward Generalizable Handwriting Brain-Computer Interfaces
Reconstructing Multi-Stroke Characters from Brain Signals toward Generalizable Handwriting Brain-Computer Interfaces 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Handwriting Brain-Computer Interfaces (BCIs) provides a promising communication avenue for individuals with paralysis. While English-based handwriting BCIs have achieved rapid typewriting with 26 lowercase letters (mostly containing one stroke each),… 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
A Novel Multisensory Stimulation and Data Capture System (MADCAP) for Investigating Sensory Trajectories in Infancy

A Novel Multisensory Stimulation and Data Capture System (MADCAP) for Investigating Sensory Trajectories in Infancy
Author(s)3: Dayi Bian, Zhaobo Zheng, Amy Swanson, Amy Weitlauf, Tiffany Woynaroski, Carissa J. Cascio, Alexandra P. Key, Zachary Warren, Nilanjan Sarkar
A Novel Multisensory Stimulation and Data Capture System (MADCAP) for Investigating Sensory Trajectories in Infancy 780 540 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

         Sensory processing differences, including responses to auditory, visual, and tactile stimuli, are ideal targets for early detection of neurodevelopmental risks, such as autism spectrum disorder. However, most existing studies…

read more

Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces
Author(s)3: Yiwen Wang, Fang Wang, Kai Xu, Qiaosheng Zhang, Shaomin Zhang, Xiaoxiang Zheng
Neural Control of a Tracking Task via Attention-Gated Reinforcement Learning for Brain-Machine Interfaces 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract Reinforcement learning (RL)-based brain machine interfaces (BMIs) enable the user to learn from the environment through interactions to complete the task without desired signals, which is promising for clinical applications. Previous studies exploited…

read more
Search this website