Robot sensing systems

Fall Risk Prediction Using Instrumented Footwear in Institutionalized Older Adults
Fall Risk Prediction Using Instrumented Footwear in Institutionalized Older Adults 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
This study presents a novel framework that utilizes instrumented footwear to predict fall risk in institutionalized older adults by leveraging stride-to-stride gait data. The older adults are categorized into fallers… read more

A Relationship Model between Optimized Exoskeleton Assistance and Gait Conditions Improves Multi-gait Human-in-the-Loop Optimization Performance
A Relationship Model between Optimized Exoskeleton Assistance and Gait Conditions Improves Multi-gait Human-in-the-Loop Optimization Performance 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Exoskeletons have been shown be able to reduce metabolic cost of human walking. Determining the suitable assistance is challenging due to individual variability in response and the need for tailored… 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

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

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

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

Restoring of Interhemispheric Symmetry in Patients With Stroke Following Bilateral or Unilateral Robot-Assisted Upper-Limb Rehabilitation: A Pilot Randomized Controlled Trial
Restoring of Interhemispheric Symmetry in Patients With Stroke Following Bilateral or Unilateral Robot-Assisted Upper-Limb Rehabilitation: A Pilot Randomized Controlled Trial 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Bilateral robotic rehabilitation has proven helpful in the recovery of upper limb motor function in patients with stroke, but its effects on the cortical reorganization mechanisms underlying recovery are still… read more

Improving Human Activity Recognition With Wearable Sensors Through BEE: Leveraging Early Exit and Gradient Boosting
Improving Human Activity Recognition With Wearable Sensors Through BEE: Leveraging Early Exit and Gradient Boosting 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Early-exiting has recently provided an ideal solution for accelerating activity inference by attaching internal classifiers to deep neural networks. It allows easy activity samples to be predicted at shallower layers,… read more
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