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Journal of Neural Engineering|November 15, 2021
Effects of brain-computer interface with functional electrical stimulation for gait rehabilitation in multiple sclerosis patients: preliminary findings in gait speed and event-related desynchronization onset latencyL Carolina Carrere, Melisa Taborda, Carlos Ballario, et al.Journal of Neural Engineering|November 4, 2021
Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive reviewMuhammad Ahmed Khan, Matteo Saibene, Rig Das, et al.Journal of Neural Engineering|November 5, 2021
Computational modelling of nerve stimulation and recording with peripheral visceral neural interfacesCalvin D Eiber, Sophie C Payne, Natalia P Biscola, et al.Journal of Neural Engineering|March 9, 2019
Regression convolutional neural network for improved simultaneous EMG controlAli Ameri, Mohammad Ali Akhaee, Erik Scheme, et al.Journal of Neural Engineering|November 17, 2018
A machine-learning approach to volitional control of a closed-loop deep brain stimulation systemBrady Houston, Margaret Thompson, Andrew Ko, et al.Journal of Neural Engineering|March 22, 2019
Detection of brain stimuli using Ramanujan periodicity transformsPouria Saidi, Azadeh Vosoughi, George AtiaJournal of Neural Engineering|February 22, 2019
Early seizure detection for closed loop direct neurostimulation devices in epilepsyM DümpelmannJournal of Neural Engineering|August 20, 2019
Evaluation of methodologies for computing the deep brain stimulation volume of tissue activatedGordon Duffley, Daria Nesterovich Anderson, Johannes Vorwerk, et al.Journal of Neural Engineering|August 20, 2019
Data-driven spatial filtering for improved measurement of cortical tracking of multiple representations of speechD Lesenfants, J Vanthornhout, E Verschueren, et al.Journal of Neural Engineering|October 4, 2019
Selective peripheral nerve recordings from nerve cuff electrodes using convolutional neural networksRyan G L Koh, Michael Balas, Adrian I Nachman, et al.Pageof 417