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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 4, 2020
Motion and Muscle Artifact Removal Validation Using an Electrical Head Phantom, Robotic Motion Platform, and Dual Layer Mobile EEGNatalie Richer, Ryan J Downey, W David Hairston, et al.
Sensors (Basel, Switzerland)|September 2, 2020
Dry Epidermal Electrodes Can Provide Long-Term High Fidelity Electromyography for Limited Dynamic Lower Limb MovementsJinfeng Li, Pulin Wang, Helen J Huang
IEEE ... International Conference on Rehabilitation Robotics : [Proceedings]|July 11, 2025
Evaluating Convolution Neural Network Architecture for Neural Drive Decoding from High-Density Surface ElectromyographyJirui Fu, Helen J Huang, Yue Wen
Frontiers in Human Neuroscience|June 1, 2016
Proposing Metrics for Benchmarking Novel EEG Technologies Towards Real-World MeasurementsAnderson S Oliveira, Bryan R Schlink, W David Hairston, et al.
Frontiers in Neuroscience|May 12, 2017
A Channel Rejection Method for Attenuating Motion-Related Artifacts in EEG Recordings during WalkingAnderson S Oliveira, Bryan R Schlink, W David Hairston, et al.
Chaos (Woodbury, N.Y.)|July 2, 2009
Neuromechanical considerations for incorporating rhythmic arm movement in the rehabilitation of walkingMarc D Klimstra, Evan Thomas, Rebecca H Stoloff, et al.
The European Journal of Neuroscience|December 14, 2021
Time to move: Brain dynamics underlying natural action and cognitionPierfilippo De Sanctis, Teodoro Solis-Escalante, Martin Seeber, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|February 11, 2012
Reduction of metabolic cost during motor learning of arm reaching dynamicsHelen J Huang, Rodger Kram, Alaa A Ahmed
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