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Neural prosthetics

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https://www.readbyqxmd.com/read/28722685/neural-control-of-finger-movement-via-intracortical-brain-machine-interface
#1
Zachary T Irwin, Karen E Schroeder, Philip P Vu, Autumn J Bullard, Derek M Tat, Chrono S Nu, Alex Vaskov, Samuel R Nason, David E Thompson, Nicole Bentley, Parag G Patil, Cynthia A Chestek
OBJECTIVE: Intracortical brain-machine interfaces (BMIs) are a promising source of prosthesis control signals for individuals with severe motor disabilities. Previous BMI studies have primarily focused on predicting and controlling whole-arm movements; precise control of hand kinematics, however, has not been fully demonstrated. Here, we investigate the continuous decoding of precise finger movements in rhesus macaques. APPROACH: In order to elicit precise and repeatable finger movements, we have developed a novel behavioral task paradigm which requires the subject to acquire virtual fingertip position targets...
July 19, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28720792/optical-read-out-of-neural-activity-in-mammalian-peripheral-axons-calcium-signaling-at-nodes-of-ranvier
#2
Arjun K Fontaine, Emily A Gibson, John H Caldwell, Richard F Weir
Current neural interface technologies have serious limitations for advanced prosthetic and therapeutic applications due primarily to their lack of specificity in neural communication. An optogenetic approach has the potential to provide single cell/axon resolution in a minimally invasive manner by optical interrogation of light-sensitive reporters and actuators. Given the aim of reading neural activity in the peripheral nervous system, this work has investigated an activity-dependent signaling mechanism in the peripheral nerve...
July 18, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28713231/grip-force-and-3d-push-pull-force-estimation-based-on-semg-and-grnn
#3
Changcheng Wu, Hong Zeng, Aiguo Song, Baoguo Xu
The estimation of the grip force and the 3D push-pull force (push and pull force in the three dimension space) from the electromyogram (EMG) signal is of great importance in the dexterous control of the EMG prosthetic hand. In this paper, an action force estimation method which is based on the eight channels of the surface EMG (sEMG) and the Generalized Regression Neural Network (GRNN) is proposed to meet the requirements of the force control of the intelligent EMG prosthetic hand. Firstly, the experimental platform, the acquisition of the sEMG, the feature extraction of the sEMG and the construction of GRNN are described...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28676749/preliminary-evidence-for-training-induced-changes-of-morphology-and-phantom-limb-pain
#4
Sandra Preißler, Désirée Thielemann, Caroline Dietrich, Gunther O Hofmann, Wolfgang H R Miltner, Thomas Weiss
The aim of this study was to investigate whether a special prosthetic training in phantom limb pain patients aimed at increasing the functional use of the prosthesis leads to neural morphological plasticity of brain structures and a reduction in phantom limb pain. For chronic pain disorders, it was shown that morphological alterations due to pain might become at least partially reversed by pain therapies. Phantom limb pain is a chronic pain disorder that is frequently followed by neural plasticity of anatomical brain structures...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28675376/model-based-bayesian-signal-extraction-algorithm-for-peripheral-nerves
#5
Thomas Eggers, Yazan M Dweiri, Grant McCallum, Dominique M Durand
Multi-channel cuff electrodes have recently been investigated for extracting fascicular-level motor commands from mixed neural recordings. Such signals could provide volitional, intuitive control over a robotic prosthesis for amputee patients. Recent work has demonstrated success in extracting these signals in acute and chronic preparations using spatial filtering techniques. These extracted signals, however, had low signal-to-noise ratios and thus limited their utility to binary classification. In this work a new algorithm is proposed which combines previous source localization approaches to create a model based method which operates in real time...
July 4, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28671816/photopolymerizable-zwitterionic-polymer-patterns-control-cell-adhesion-and-guide-neural-growth
#6
Braden L Leigh, Elise Cheng, Linjing Xu, Corinne Andresen, Marlan R Hansen, C Allan Guymon
Developing materials that reduce or eliminate fibrosis encapsulation of neural prosthetic implants could significantly enhance implant fidelity by improving the tissue/electrode array interface. Here, we report on the photografting and patterning of two zwitterionic materials, sulfobetaine methacrylate (SBMA) and carboxybetaine methacrylate (CBMA) for controlling the adhesion and directionality of cells relevant to neural prosthetics. CBMA and SBMA polymers were photopolymerized and grafted on glass surfaces then characterized by X-ray photoelectron spectroscopy, water contact angle, and protein adsorption...
July 3, 2017: Biomacromolecules
https://www.readbyqxmd.com/read/28652411/-saturation-in-phosphene-size-with-increasing-current-levels-delivered-to-human-visual-cortex
#7
William H Bosking, Ping Sun, Müge Özker, Xiaomei Pei, Brett L Foster, Michael S Beauchamp, Daniel Yoshor
Electrically stimulating early visual cortex results in a visual percept known as a phosphene. While phosphenes can be evoked by a wide range of electrode sizes and current amplitudes, they are invariably described as small. To better understand this observation, we electrically stimulated 93 electrodes implanted in the visual cortex of 13 human subjects who reported phosphene size while stimulation current was varied. Phosphene size increased as the stimulation current was initially raised above threshold, but then rapidly reached saturation...
June 26, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28651813/magnetic-oculomotor-prosthetics-for-acquired-nystagmus
#8
Parashkev Nachev, Geoff E Rose, David H Verity, Sanjay G Manohar, Kelly MacKenzie, Gill Adams, Maria Theodorou, Quentin A Pankhurst, Christopher Kennard
PURPOSE: Acquired nystagmus, a highly symptomatic consequence of damage to the substrates of oculomotor control, often is resistant to pharmacotherapy. Although heterogeneous in its neural cause, its expression is unified at the effector-the eye muscles themselves-where physical damping of the oscillation offers an alternative approach. Because direct surgical fixation would immobilize the globe, action at a distance is required to damp the oscillation at the point of fixation, allowing unhindered gaze shifts at other times...
June 23, 2017: Ophthalmology
https://www.readbyqxmd.com/read/28630937/high-precision-neural-decoding-of-complex-movement-trajectories-using-recursive-bayesian-estimation-with-dynamic-movement-primitives
#9
Guy Hotson, Ryan J Smith, Adam G Rouse, Marc H Schieber, Nitish V Thakor, Brock A Wester
Brain-machine interfaces (BMIs) are a rapidly progressing technology with the potential to restore function to victims of severe paralysis via neural control of robotic systems. Great strides have been made in directly mapping a user's cortical activity to control of the individual degrees of freedom of robotic end-effectors. While BMIs have yet to achieve the level of reliability desired for widespread clinical use, environmental sensors (e.g. RGB-D cameras for object detection) and prior knowledge of common movement trajectories hold great potential for improving system performance...
July 2016: IEEE Robotics and Automation Letters
https://www.readbyqxmd.com/read/28628994/tio2-surfaces-support-neuron-growth-during-electric-field-stimulation
#10
M Canillas, B Moreno, E Chinarro, A M Rajnicek
TiO2 is proposed here for the first time as a substrate for neural prostheses that involve electrical stimulation. Several characteristics make TiO2 an attractive material: Its electrochemical behaviour as an insulator prevents surface changes during stimulation. Hydration creates -OH groups at the surface, which aid cell adhesion by interaction with inorganic ions and macromolecules in cell membranes. Its ability to neutralize reactive oxygen and nitrogen species that trigger inflammatory processes confers biocompatibility properties in dark conditions...
October 1, 2017: Materials Science & Engineering. C, Materials for Biological Applications
https://www.readbyqxmd.com/read/28611573/simultaneous-and-continuous-estimation-of-shoulder-and-elbow-kinematics-from-surface-emg-signals
#11
Qin Zhang, Runfeng Liu, Wenbin Chen, Caihua Xiong
In this paper, we present a simultaneous and continuous kinematics estimation method for multiple DoFs across shoulder and elbow joint. Although simultaneous and continuous kinematics estimation from surface electromyography (EMG) is a feasible way to achieve natural and intuitive human-machine interaction, few works investigated multi-DoF estimation across the significant joints of upper limb, shoulder and elbow joints. This paper evaluates the feasibility to estimate 4-DoF kinematics at shoulder and elbow during coordinated arm movements...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28596336/regenerating-optic-pathways-from-the-eye-to-the-brain
#12
REVIEW
Bireswar Laha, Ben K Stafford, Andrew D Huberman
Humans are highly visual. Retinal ganglion cells (RGCs), the neurons that connect the eyes to the brain, fail to regenerate after damage, eventually leading to blindness. Here, we review research on regeneration and repair of the optic system. Intrinsic developmental growth programs can be reactivated in RGCs, neural activity can enhance RGC regeneration, and functional reformation of eye-to-brain connections is possible, even in the adult brain. Transplantation and gene therapy may serve to replace or resurrect dead or injured retinal neurons...
June 9, 2017: Science
https://www.readbyqxmd.com/read/28552645/sculpting-neurotransmission-during-synaptic-development-by-2d-nanostructured-interfaces
#13
Niccolò Paolo Pampaloni, Denis Scaini, Fabio Perissinotto, Susanna Bosi, Maurizio Prato, Laura Ballerini
Carbon nanotube-based biomaterials critically contribute to the design of many prosthetic devices, with a particular impact in the development of bioelectronics components for novel neural interfaces. These nanomaterials combine excellent physical and chemical properties with peculiar nanostructured topography, thought to be crucial to their integration with neural tissue as long-term implants. The junction between carbon nanotubes and neural tissue can be particularly worthy of scientific attention and has been reported to significantly impact synapse construction in cultured neuronal networks...
May 25, 2017: Nanomedicine: Nanotechnology, Biology, and Medicine
https://www.readbyqxmd.com/read/28541915/embedded-system-for-prosthetic-control-using-implanted-neuromuscular-interfaces-accessed-via-an-osseointegrated-implant
#14
Enzo Mastinu, Pascal Doguet, Yohan Botquin, Bo Hakansson, Max Ortiz-Catalan
Despite the technological progress in robotics achieved in the last decades, prosthetic limbs still lack functionality, reliability, and comfort. Recently, an implanted neuromusculoskeletal interface built upon osseointegration was developed and tested in humans, namely the Osseointegrated Human-Machine Gateway. Here, we present an embedded system to exploit the advantages of this technology. Our artificial limb controller allows for bioelectric signals acquisition, processing, decoding of motor intent, prosthetic control, and sensory feedback...
May 23, 2017: IEEE Transactions on Biomedical Circuits and Systems
https://www.readbyqxmd.com/read/28532464/neurorehabilitation-in-upper-limb-amputation-understanding-how-neurophysiological-changes-can-affect-functional-rehabilitation
#15
REVIEW
Lewis A Wheaton
BACKGROUND: Significant advances have been made in developing new prosthetic technologies with the goal of restoring function to persons that suffer partial or complete loss of the upper limb. Despite these technological advances, many challenges remain in understanding barriers in patient adoption of technology, and what critical factors should be of focus in prosthetics development from a motor control perspective. This points to a potential opportunity to improve our understanding of amputation using neurophysiology and plasticity, and integrate this knowledge into the development of prosthetics technology in novel ways...
May 22, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28504971/robust-tactile-sensory-responses-in-finger-area-of-primate-motor-cortex-relevant-to-prosthetic-control
#16
Karen E Schroeder, Zachary T Irwin, Autumn J Bullard, David E Thompson, J Nicole Bentley, William C Stacey, Parag G Patil, Cynthia A Chestek
OBJECTIVE: Challenges in improving the performance of dexterous upper-limb brain-machine interfaces (BMIs) have prompted renewed interest in quantifying the amount and type of sensory information naturally encoded in the primary motor cortex (M1). Previous single unit studies in monkeys showed M1 is responsive to tactile stimulation, as well as passive and active movement of the limbs. However, recent work in this area has focused primarily on proprioception. Here we examined instead how tactile somatosensation of the hand and fingers is represented in M1...
May 15, 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28487630/analysis-of-interrelationships-among-voluntary-and-prosthetic-leg-joint-parameters-using-cyclograms
#17
Farahiyah Jasni, Nur Azah Hamzaid, Nor Elleeiana Mohd Syah, Tze Y Chung, Noor Azuan Abu Osman
The walking mechanism of a prosthetic leg user is a tightly coordinated movement of several joints and limb segments. The interaction among the voluntary and mechanical joints and segments requires particular biomechanical insight. This study aims to analyze the inter-relationship between amputees' voluntary and mechanical coupled leg joints variables using cyclograms. From this analysis, the critical gait parameters in each gait phase were determined and analyzed if they contribute to a better powered prosthetic knee control design...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28480646/amplitude-modulation-based-electrical-stimulation-for-encoding-multipixel-spatiotemporal-visual-information-in-retinal-neural-activities
#18
Sang Baek Ryu, Jeong Woo Choi, Kun No Ahn, Yong Sook Goo, Kyung Hwan Kim
Retinal implants have been developed as a promising way to restore partial vision for the blind. The observation and analysis of neural activities can offer valuable insights for successful prosthetic electrical stimulation. Retinal ganglion cell (RGC) activities have been investigated to provide knowledge on the requirements for electrical stimulation, such as threshold current and the effect of stimulation waveforms. To develop a detailed 'stimulation strategy' for faithful delivery of spatiotemporal visual information to the brain, it is essential to examine both the temporal and spatial characteristics of RGC responses, whereas previous studies were mainly focused on one or the other...
June 2017: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/28472991/resolving-the-effect-of-wrist-position-on-myoelectric-pattern-recognition-control
#19
Adenike A Adewuyi, Levi J Hargrove, Todd A Kuiken
BACKGROUND: The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, who often possess a functional wrist. This study's objective was to evaluate strategies that allow partial-hand amputees to control a prosthetic hand while allowing retain wrist function. METHODS: EMG data was recorded from the extrinsic and intrinsic hand muscles of six non-amputees and two partial-hand amputees while they performed 4 hand motions in 13 different wrist positions...
May 4, 2017: Journal of Neuroengineering and Rehabilitation
https://www.readbyqxmd.com/read/28467317/deep-learning-based-artificial-vision-for-grasp-classification-in-myoelectric-hands
#20
Ghazal Ghazaei, Ali Alameer, Patrick Degenaar, Graham Morgan, Kianoush Nazarpour
OBJECTIVE: Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision system to grasp and move common household objects with a two-channel myoelectric prosthetic hand. APPROACH: We developed a deep learning-based artificial vision system to augment the grasp functionality of a commercial prosthesis...
June 2017: Journal of Neural Engineering
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