Transactions on Neural Systems and Rehabilitation Engineering
Featured Articles

Featured Articles
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation
Driver vigilance estimation is an important task for transportation safety. Wearable and portable brain-computer interface devices provide a powerful means for real-time monitoring of the vigilance level of drivers to help with avoiding distracted or impaired driving. In this paper,... Read more
Featured Articles
Quantification of Motor Function Post-stroke using Novel Combination of Wearable Inertial and Mechanomyographic Sensors
Subjective clinical rating scales represent the gold-standard diagnosis of motor function following stroke, however in practice they suffer from well-recognized limitations including assessor variance, low inter-rater reliability and low resolution. Automated systems have been proposed for empirical quantification but have... Read more
Featured Articles
Domain-adaptive Fall Detection Using Deep Adversarial Training
Fall detection (FD) systems are important assistive technologies for healthcare that can detect emergency fall events and alert caregivers. However, it is not easy to obtain large-scale annotated fall events with various specifications of sensors or sensor positions during the... Read more
Featured Articles
Sparse Visual-Inertial Measurement Units Placement for Gait Kinematics Assessment
This study investigates the possibility of estimating lower-limb joint kinematics and meaningful performance indexes for physiotherapists, during gait on a treadmill based on data collected from a sparse placement of new Visual Inertial Measurement Units (VIMU) and the use of... Read more
Featured Articles
Brain-Computer-Spinal Interface Restores Upper Limb Function after Spinal Cord Injury
Brain-computer interfaces (BCIs) are an emerging strategy for spinal cord injury (SCI) intervention that may be used to reanimate paralyzed limbs. This approach requires decoding movement intention from the brain to control movement-evoking stimulation. Common decoding methods use spike-sorting and... Read more
Featured Articles
Different biomechanical variables explain within-subjects versus between-subjects variance in step length asymmetry post-stroke
Step length asymmetry (SLA) is common in most stroke survivors. Several studies have shown that factors such as paretic propulsion can explain between-subjects differences in SLA. However, whether the factors that account for between-subjects variance in SLA are consistent with... Read more
Featured Articles
Determining factors that influence adoption of new post-stroke sensorimotor rehabilitation devices in the USA
Rehabilitation device efficacy alone does not lead to clinical practice adoption. Previous literature identifies drivers for device adoption by therapists but does not identify the best settings to introduce devices, the roles of different stakeholders including rehabilitation directors, or specific... Read more
Featured Articles
Bioprinted collagen-based cell-laden scaffold with growth factors for tympanic membrane regeneration in chronic perforation model
With the recent development of bioprinting technology, various attempts have been made to replace bioprinting technologies and regenerative medicine are more directed towards transplantation/reconstructive surgeries only with the implantation of scaffolds. The purpose of this study is to determine whether... Read more
Featured Articles
A Muscle Synergy-Inspired Method of Detecting Human Movement Intentions Based on Wearable Sensor Fusion
Detecting human movement intentions is fundamental to neural control of robotic exoskeletons, as it is essential for achieving seamless transitions between different locomotion modes. In this study, we enhanced a muscle synergy-inspired method of locomotion mode identification by fusing the... Read more
Featured Articles
Design and characterization of a textile electrode system for the detection of High-Density sEMG
Muscle activity monitoring in dynamic conditions is a crucial need in different scenarios, ranging from sport to rehabilitation science and applied physiology. The acquisition of surface electromyographic (sEMG) signals by means of grids of electrodes (High-Density sEMG, HD-sEMG) allows to... Read more