Recovering Motor Activation with Chronic Peripheral Nerve Computer Interface

[1]  Frank Sobott,et al.  The structural basis for dynamic DNA binding and bridging interactions which condense the bacterial centromere , 2017, eLife.

[2]  Dominique M Durand,et al.  Model-based Bayesian signal extraction algorithm for peripheral nerves , 2017, Journal of neural engineering.

[3]  Francis R. Willett,et al.  High performance communication by people with paralysis using an intracortical brain-computer interface , 2017, eLife.

[4]  Dominique M. Durand,et al.  Stable Detection of Movement Intent From Peripheral Nerves: Chronic Study in Dogs , 2017, Proceedings of the IEEE.

[5]  Eduardo Fernandez,et al.  Clinical applications of penetrating neural interfaces and Utah Electrode Array technologies , 2016, Journal of neural engineering.

[6]  Dominique M Durand,et al.  Fabrication of High Contact-Density, Flat-Interface Nerve Electrodes for Recording and Stimulation Applications. , 2016, Journal of visualized experiments : JoVE.

[7]  Xavier Navarro,et al.  Fascicular Topography of the Human Median Nerve for Neuroprosthetic Surgery , 2016, Front. Neurosci..

[8]  G A Clark,et al.  Restoring motor control and sensory feedback in people with upper extremity amputations using arrays of 96 microelectrodes implanted in the median and ulnar nerves , 2016, Journal of neural engineering.

[9]  John P. John,et al.  Assessing Neurocognition via Gamified Experimental Logic: A Novel Approach to Simultaneous Acquisition of Multiple ERPs , 2016, Front. Neurosci..

[10]  David Hankin,et al.  First-in-man demonstration of a fully implanted myoelectric sensors system to control an advanced electromechanical prosthetic hand , 2015, Journal of Neuroscience Methods.

[11]  M L Boninger,et al.  Ten-dimensional anthropomorphic arm control in a human brain−machine interface: difficulties, solutions, and limitations , 2015, Journal of neural engineering.

[12]  Max Ortiz-Catalan,et al.  An osseointegrated human-machine gateway for long-term sensory feedback and motor control of artificial limbs , 2014, Science Translational Medicine.

[13]  Levi J Hargrove,et al.  A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts’ law style assessment procedure , 2014, Journal of NeuroEngineering and Rehabilitation.

[14]  Bruno Cozzi,et al.  Expression of calcium-binding proteins and selected neuropeptides in the human, chimpanzee, and crab-eating macaque claustrum , 2014, Front. Syst. Neurosci..

[15]  L. Miller,et al.  Restoring sensorimotor function through intracortical interfaces: progress and looming challenges , 2014, Nature Reviews Neuroscience.

[16]  Gytis Baranauskas,et al.  What limits the performance of current invasive brain machine interfaces? , 2014, Front. Syst. Neurosci..

[17]  Dario Farina,et al.  The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[18]  Luca Citi,et al.  Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses , 2014, Science Translational Medicine.

[19]  D. M. Durand,et al.  Bayesian Spatial Filters for Source Signal Extraction: A Study in the Peripheral Nerve , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[20]  P. Yoo,et al.  Enhanced electrode design for peripheral nerve recording , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

[21]  Dustin J. Tyler,et al.  Stability and selectivity of a chronic, multi-contact cuff electrode for sensory stimulation in human amputees , 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

[22]  Peng Yuan,et al.  A study of the existing problems of estimating the information transfer rate in online brain–computer interfaces , 2013, Journal of neural engineering.

[23]  L. Miller,et al.  Restoration of grasp following paralysis through brain-controlled stimulation of muscles , 2012, Nature.

[24]  B Wodlinger,et al.  Selective recovery of fascicular activity in peripheral nerves , 2011, Journal of neural engineering.

[25]  P. Rossini,et al.  Double nerve intraneural interface implant on a human amputee for robotic hand control , 2010, Clinical Neurophysiology.

[26]  D.M. Durand,et al.  Localization and Recovery of Peripheral Neural Sources With Beamforming Algorithms , 2009, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[27]  S. Solla,et al.  Toward the Restoration of Hand Use to a Paralyzed Monkey: Brain-Controlled Functional Electrical Stimulation of Forearm Muscles , 2009, PloS one.

[28]  Stephane Proux,et al.  Changes in the Treatment Responses to Artesunate-Mefloquine on the Northwestern Border of Thailand during 13 Years of Continuous Deployment , 2009, PloS one.

[29]  S. Micera,et al.  On the Use of Longitudinal Intrafascicular Peripheral Interfaces for the Control of Cybernetic Hand Prostheses in Amputees , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[30]  C. Azevedo-Coste,et al.  Improving the signal-to-noise ratio in recordings with thin-film longitudinal intra-fascicular electrodes using shielding cuffs , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

[31]  R.F. Weir,et al.  The Optimal Controller Delay for Myoelectric Prostheses , 2007, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[32]  Silvestro Micera,et al.  A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems , 2005, Journal of the peripheral nervous system : JPNS.

[33]  K. Horch,et al.  Residual function in peripheral nerve stumps of amputees: implications for neural control of artificial limbs. , 2004, The Journal of hand surgery.

[34]  Kevin B. Englehart,et al.  A robust, real-time control scheme for multifunction myoelectric control , 2003, IEEE Transactions on Biomedical Engineering.

[35]  R.B. Stein,et al.  Characterization of signals and noise rejection with bipolar longitudinal intrafascicular electrodes , 1999, IEEE Transactions on Biomedical Engineering.

[36]  Thomas Sinkjær,et al.  Cutaneous whole nerve recordings used for correction of footdrop in hemiplegic man , 1995 .

[37]  Morten Kristian Haugland,et al.  Skin contact force information in sensory nerve signals recorded by implanted cuff electrodes , 1994 .

[38]  H. Schmalbruch,et al.  Fiber composition of the rat sciatic nerve , 1986, The Anatomical record.

[39]  R. Stein,et al.  Long‐term effects of axotomy on neural activity during cat locomotion. , 1980, The Journal of physiology.

[40]  R. Stein,et al.  Stable long-term recordings from cat peripheral nerves , 1977, Brain Research.

[41]  W. B. Marks,et al.  Action currents, internodal potentials, and extracellular records of myelinated mammalian nerve fibers derived from node potentials. , 1976, Biophysical journal.