upper-extremity

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

From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning

From Simulation to Reality: Predicting Torque With Fatigue Onset via Transfer Learning 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical models. The present work leveraged a transfer learning approach to improve torque predictions during fatiguing upper extremity movements.… read more

Self-feeding kinematics in an ecological setting: typically developing children and children with cerebral palsy

Author(s)3: Patrice L. Weiss, Jason Friedman, Tal Keren-Capelovitch, Tal Krasovsky
Self-feeding kinematics in an ecological setting: typically developing children and children with cerebral palsy 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Assessment of self-feeding kinematics is seldom performed in an ecological setting. In preparation for development of an instrumented spoon for measurement of self-feeding in children with cerebral palsy (CP), the…

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Experimental results using force-feedback cueing in robot-assisted stroke therapy

Author(s)3: Michelle J. Johnson, H. F. Machiel Van der Loos, C.G. Burgar
Experimental results using force-feedback cueing in robot-assisted stroke therapy 512 245 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Abstract:Stroke is the leading cause of disability among adults in the United States. Behaviors such as learned nonuse hinder hemiplegic stroke survivors from the full use of both arms in…

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Robot training with vector fields based on stroke survivors’ individual movement statistics

Author(s)3: Zachary A. Wright, Emily Lazzaro, Kelly O. Thielbar, James L. Patton, Felix C. Huang
Robot training with vector fields based on stroke survivors’ individual movement statistics 780 931 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

     The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, current strategies for characterizing individual motor impairments are limited by…

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