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Neural prosthetics

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https://www.readbyqxmd.com/read/28926593/target-directed-motor-imagery-of-the-lower-limb-enhances-event-related-desynchronization
#1
Kosuke Kitahara, Yoshikatsu Hayashi, Shiro Yano, Toshiyuki Kondo
Event-related desynchronization/synchronization (ERD/S) is an electroencephalogram (EEG) feature widely used as control signals for Brain-Computer Interfaces (BCIs). Nevertheless, the underlying neural mechanisms and functions of ERD/S are largely unknown, thus investigating them is crucial to improve the reliability of ERD/S-based BCIs. This study aimed to identify Motor Imagery (MI) conditions that enhance ERD/S. We investigated following three questions: 1) whether target-directed MI affects ERD/S, 2) whether MI with sound imagery affects ERD/S, and 3) whether ERD/S has a body part dependency of MI...
2017: PloS One
https://www.readbyqxmd.com/read/28880183/gaussian-process-autoregression-for-simultaneous-proportional-multi-modal-prosthetic-control-with-natural-hand-kinematics
#2
Michele Xiloyannis, Constantinos Gavriel, Andreas A C Thomik, A Aldo Faisal
Matching the dexterity, versatility and robustness of the human hand is still an unachieved goal in bionics, robotics and neural engineering. A major limitation for hand prosthetics lies in the challenges of reliably decoding user intention from muscle signals when controlling complex robotic hands. Most of the commercially available prosthetic hands use musclerelated signals to decode a finite number of predefined motions and some offer proportional control of open/close movements of the whole hand. Here, in contrast, we aim to offer users flexible control of individual joints of their artificial hand...
August 31, 2017: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28877508/the-no-heme-signaling-hypothesis
#3
Andrei L Kleschyov
While the biological role of nitric oxide (NO) synthase (NOS) is appreciated, several fundamental aspects of the NOS/NO-related signaling pathway(s) remain incompletely understood. Canonically, the NOS-derived NO diffuses through the (inter)cellular milieu to bind the prosthetic ferro(Fe(2+))-heme group of the soluble guanylyl cyclase (sGC). The formation of ternary NO-ferroheme-sGC complex results in the enzyme activation and accelerated production of the second messenger, cyclic GMP. This paper argues that cells dynamically generate mobile/exchangeable NO-ferroheme species, which activate sGC and regulate the function of some other biomolecules...
September 3, 2017: Free Radical Biology & Medicine
https://www.readbyqxmd.com/read/28869537/an-adaptive-classification-strategy-for-reliable-locomotion-mode-recognition
#4
Ming Liu, Fan Zhang, He Helen Huang
Algorithms for locomotion mode recognition (LMR) based on surface electromyography and mechanical sensors have recently been developed and could be used for the neural control of powered prosthetic legs. However, the variations in input signals, caused by physical changes at the sensor interface and human physiological changes, may threaten the reliability of these algorithms. This study aimed to investigate the effectiveness of applying adaptive pattern classifiers for LMR. Three adaptive classifiers, i.e...
September 4, 2017: Sensors
https://www.readbyqxmd.com/read/28860986/classification-of-movement-and-inhibition-using-a-hybrid-bci
#5
Jennifer Chmura, Joshua Rosing, Steven Collazos, Shikha J Goodwin
Brain-computer interfaces (BCIs) are an emerging technology that are capable of turning brain electrical activity into commands for an external device. Motor imagery (MI)-when a person imagines a motion without executing it-is widely employed in BCI devices for motor control because of the endogenous origin of its neural control mechanisms, and the similarity in brain activation to actual movements. Challenges with translating a MI-BCI into a practical device used outside laboratories include the extensive training required, often due to poor user engagement and visual feedback response delays; poor user flexibility/freedom to time the execution/inhibition of their movements, and to control the movement type (right arm vs...
2017: Frontiers in Neurorobotics
https://www.readbyqxmd.com/read/28854522/an-investigation-on-effects-of-amputee-s-physiological-parameters-on-maximum-pressure-developed-at-the-prosthetic-socket-interface-using-artificial-neural-network
#6
Chitresh Nayak, Amit Singh, Himanshu Chaudhary, Deepak Rajendra Unune
Technological advances in prosthetics have attracted the curiosity of researchers in monitoring design and developments of the sockets to sustain maximum pressure without any soft tissue damage, skin breakdown, and painful sores. Numerous studies have been reported in the area of pressure measurement at the limb/socket interface, though, the relation between amputee's physiological parameters and the pressure developed at the limb/socket interface is still not studied. Therefore, the purpose of this work is to investigate the effects of patient-specific physiological parameters viz...
August 1, 2017: Technology and Health Care: Official Journal of the European Society for Engineering and Medicine
https://www.readbyqxmd.com/read/28841276/tuning-surface-and-topographical-features-to-investigate-competitive-guidance-of-spiral-ganglion-neurons
#7
Braden L Leigh, Kristy Truong, Reid Bartholomew, Mark Ramirez, Marlan R Hansen, C Allan Guymon
Cochlear Implants (CIs) suffer from limited tonal resolution due, in large part, to spatial separation between stimulating electrode arrays and primary neural receptors. In this work, a combination of physical and chemical micropatterns, formed on acrylate polymers, are used to direct the growth of primary spiral ganglion neurons (SGNs), the inner ear neurons. Utilizing the inherent temporal and spatial control of photopolymerization, physical microgrooves are fabricated using a photomask in a single step process...
September 20, 2017: ACS Applied Materials & Interfaces
https://www.readbyqxmd.com/read/28813963/novel-neural-interface-electrode-array-for-the-peripheral-nerve
#8
Ockchul Kim, Wonsuk Choi, Woohyun Jung, Sunyoung Jung, HyungDal Park, Jong Woong Park, Jinseok Kim
Peripheral neural interface (PNI) is becoming an essential technology in the field of robotic prosthesis due to its potential for providing bidirectional neural signal communication between the prosthetic arm and the brain. However, current PNIs inefficiently trade off neural signal selectivity and the invasiveness of the device. We designed and fabricated a new PNI electrode array that has high signal selectivity yet maintains low invasiveness by incorporating a design that allows for three-dimensional spiral insertion around the peripheral nerve...
July 2017: IEEE ... International Conference on Rehabilitation Robotics: [proceedings]
https://www.readbyqxmd.com/read/28798342/nanoparticle-based-plasmonic-transduction-for-modulation-of-electrically-excitable-cells
#9
Parveen Bazard, Robert D Frisina, Joseph P Walton, Venkat R Bhethanabotla
There is a compelling need for the development of new sensory and neural prosthetic devices which are capable of more precise point stimulation. Current prosthetic devices suffer from the limitation of low spatial resolution due to the non-specific stimulation characteristics of electrical stimulation, i.e., the spread of electric fields generated. We present a visible light stimulation method for modulating the firing patterns of electrically-excitable cells using surface plasmon resonance phenomena. In in-vitro studies using gold (Au) nanoparticle-coated nanoelectrodes, we show that this method (substrate coated with nanoparticles) has the potential for incorporating this new technology into neural stimulation prosthetics, such as cochlear implants for the deaf, with very high spatial resolution...
August 10, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28769755/broadband-prosthetic-interfaces-combining-nerve-transfers-and-implantable-multichannel-emg-technology-to-decode-spinal-motor-neuron-activity
#10
Konstantin D Bergmeister, Ivan Vujaklija, Silvia Muceli, Agnes Sturma, Laura A Hruby, Cosima Prahm, Otto Riedl, Stefan Salminger, Krisztina Manzano-Szalai, Martin Aman, Michael-Friedrich Russold, Christian Hofer, Jose Principe, Dario Farina, Oskar C Aszmann
Modern robotic hands/upper limbs may replace multiple degrees of freedom of extremity function. However, their intuitive use requires a high number of control signals, which current man-machine interfaces do not provide. Here, we discuss a broadband control interface that combines targeted muscle reinnervation, implantable multichannel electromyographic sensors, and advanced decoding to address the increasing capabilities of modern robotic limbs. With targeted muscle reinnervation, nerves that have lost their targets due to an amputation are surgically transferred to residual stump muscles to increase the number of intuitive prosthetic control signals...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28744189/self-recalibrating-surface-emg-pattern-recognition-for-neuroprosthesis-control-based-on-convolutional-neural-network
#11
Xiaolong Zhai, Beth Jelfs, Rosa H M Chan, Chung Tin
Hand movement classification based on surface electromyography (sEMG) pattern recognition is a promising approach for upper limb neuroprosthetic control. However, maintaining day-to-day performance is challenged by the non-stationary nature of sEMG in real-life operation. In this study, we propose a self-recalibrating classifier that can be automatically updated to maintain a stable performance over time without the need for user retraining. Our classifier is based on convolutional neural network (CNN) using short latency dimension-reduced sEMG spectrograms as inputs...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28722685/neural-control-of-finger-movement-via-intracortical-brain-machine-interface
#12
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
#13
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
#14
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
#15
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
#16
Thomas E Eggers, Yazan M Dweiri, Grant A McCallum, Dominique M Durand
OBJECTIVE: 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...
October 2017: Journal of Neural Engineering
https://www.readbyqxmd.com/read/28671816/photopolymerizable-zwitterionic-polymer-patterns-control-cell-adhesion-and-guide-neural-growth
#17
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 24, 2017: Biomacromolecules
https://www.readbyqxmd.com/read/28652411/saturation-in-phosphene-size-with-increasing-current-levels-delivered-to-human-visual-cortex
#18
William H Bosking, Ping Sun, Muge Ozker, Xiaomei Pei, Brett L Foster, Michael S Beauchamp, Daniel Yoshor
Electrically stimulating early visual cortex results in a visual percept known as a phosphene. Although 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...
July 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
#19
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
#20
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
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