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https://www.readbyqxmd.com/read/28338618/real-time-gait-event-detection-based-on-kinematic-data-coupled-to-a-biomechanical-model-%C3%A2
#1
Stefan Lambrecht, Anna Harutyunyan, Kevin Tanghe, Maarten Afschrift, Joris De Schutter, Ilse Jonkers
Real-time detection of multiple stance events, more specifically initial contact (IC), foot flat (FF), heel off (HO), and toe off (TO), could greatly benefit neurorobotic (NR) and neuroprosthetic (NP) control. Three real-time threshold-based algorithms have been developed, detecting the aforementioned events based on kinematic data in combination with a biomechanical model. Data from seven subjects walking at three speeds on an instrumented treadmill were used to validate the presented algorithms, accumulating to a total of 558 steps...
March 24, 2017: Sensors
https://www.readbyqxmd.com/read/28325029/noninvasive-eeg-correlates-of-overground-and-stair-walking
#2
Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal
Automated walking intention detection remains a challenge in lower-limb neuroprosthetic systems. Here, we assess the feasibility of extracting motor intent from scalp electroencephalography (EEG). First, we evaluated the corticomuscular coherence between central EEG electrodes (C1, Cz, C2) and muscles of the shank and thigh during walking on level ground and stairs. Second, we trained decoders to predict the linear envelope of the surface electromyogram (EMG). We observed significant EEG-led corticomuscular coupling between electrodes and sEMG (tibialis anterior) in the high delta (3-4 Hz) and low theta (4-5 Hz) frequency bands during level walking, indicating efferent signaling from the cortex to peripheral motor neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28324946/characterization-of-motor-cortex-activity-of-the-lower-limb-region
#3
Fadi Mikhail, Karthikeyan Balasubramanian, Matthew D Best, Kazutaka Takahashi, Nicholas G Hatsopoulos
Understanding the functional properties of the motor cortex is a key step to developing effective neuroprosthetic and computer interfaces for amputees and patients with spinal cord injury. Most efforts have been directed towards studying the upper limb region of the motor cortex. Little has been done in the way of addressing lower limb motor cortical physiology. In this study, we implanted multiple microelectrode arrays along the central sulcus in the primary motor cortex of a macaque monkey. Using intracortical microstimulation, we identified neurons that evoked leg movements, either exclusively or mostly, and we studied their firing activity during a center-out arm movement task...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28321887/simplification-of-visual-rendering-in-simulated-prosthetic-vision-facilitates-navigation
#4
Victor Vergnieux, Marc J-M Macé, Christophe Jouffrais
Visual neuroprostheses are still limited and simulated prosthetic vision (SPV) is used to evaluate potential and forthcoming functionality of these implants. SPV has been used to evaluate the minimum requirement on visual neuroprosthetic characteristics to restore various functions such as reading, objects and face recognition, object grasping, etc. Some of these studies focused on obstacle avoidance but only a few investigated orientation or navigation abilities with prosthetic vision. The resolution of current arrays of electrodes is not sufficient to allow navigation tasks without additional processing of the visual input...
March 21, 2017: Artificial Organs
https://www.readbyqxmd.com/read/28284918/intracortical-microstimulation-differentially-activates-cortical-layers-based-on-stimulation-depth
#5
Mathias Benjamin Voigt, Peter Hubka, Andrej Kral
BACKGROUND: Intracortical microstimulation is one of the most common techniques to causally interfere with neuronal processing, but neuronal recordings spanning the whole cortical depth during stimulation are exceptionally rare. OBJECTIVE/HYPOTHESIS: Here we combined layer-specific intracortical microstimulation with extracellular recordings on the same shank of a linear multi-electrode array to study the effects of electrical stimulation in different cortical depths on intracortical processing in the auditory cortex in vivo...
February 27, 2017: Brain Stimulation
https://www.readbyqxmd.com/read/28269360/development-of-high-impedance-measurement-system-for-water-leakage-detection-in-implantable-neuroprosthetic-devices
#6
Aziz Yousif, Shawn K Kelly
There has been a push for a greater number of channels in implantable neuroprosthetic devices; but, that number has largely been limited by current hermetic packaging technology. Microfabricated packaging is becoming reality, but a standard testing system is needed to prepare these devices for clinical trials. Impedance measurements of electrodes built into the packaging layers may give an early warning of device failure and predict device lifetime. Because the impedance magnitudes of such devices can be on the order of gigaohms, a versatile system was designed to accommodate ultra-high impedances and allow future integrated circuit implementation in current neural prosthetic technologies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268959/modeling-distinct-sources-of-neural-variability-driving-neuroprosthetic-control
#7
Preeya Khanna, Vivek R Athalye, Suraj Gowda, Rui M Costa, Jose M Carmena
Many closed-loop, continuous-control brain-machine interface (BMI) architectures rely on decoding via a linear readout of noisy population neural activity. However, recent work has found that decomposing neural population activity into correlated and uncorrelated variability reveals that improvements in cursor control coincide with the emergence of correlated neural variability. In order to address how correlated and uncorrelated neural variability arises and contributes to BMI cursor control, we simulate a neural population receiving combinations of shared inputs affecting all cells and private inputs affecting only individual cells...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28268628/idle-state-classification-using-spiking-activity-and-local-field-potentials-in-a-brain-computer-interface
#8
Jordan J Williams, Rex N Tien, Yoh Inoue, Andrew B Schwartz
Previous studies of intracortical brain-computer interfaces (BCIs) have often focused on or compared the use of spiking activity and local field potentials (LFPs) for decoding kinematic movement parameters. Conversely, using these signals to detect the initial intention to use a neuroprosthetic device or not has remained a relatively understudied problem. In this study, we examined the relative performance of spiking activity and LFP signals in detecting discrete state changes in attention regarding a user's desire to actively control a BCI device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28231470/rapid-integration-of-artificial-sensory-feedback-during-operant-conditioning-of-motor-cortex-neurons
#9
Mario Prsa, Gregorio L Galiñanes, Daniel Huber
Neuronal motor commands, whether generating real or neuroprosthetic movements, are shaped by ongoing sensory feedback from the displacement being produced. Here we asked if cortical stimulation could provide artificial feedback during operant conditioning of cortical neurons. Simultaneous two-photon imaging and real-time optogenetic stimulation were used to train mice to activate a single neuron in motor cortex (M1), while continuous feedback of its activity level was provided by proportionally stimulating somatosensory cortex...
February 22, 2017: Neuron
https://www.readbyqxmd.com/read/28227810/noninvasive-eeg-correlates-of-overground-and-stair-walking
#10
Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal, Justin A Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu, Anna T Winslow, Helen Huang, Jose L Contreras-Vidal, Fangshi Zhu, Recep Ozdemir, Justin A Brantley, Helen Huang, Anna T Winslow, Jose L Contreras-Vidal, Trieu Phat Luu
Automated walking intention detection remains a challenge in lower-limb neuroprosthetic systems. Here, we assess the feasibility of extracting motor intent from scalp electroencephalography (EEG). First, we evaluated the corticomuscular coherence between central EEG electrodes (C1, Cz, C2) and muscles of the shank and thigh during walking on level ground and stairs. Second, we trained decoders to predict the linear envelope of the surface electromyogram (EMG). We observed significant EEG-led corticomuscular coupling between electrodes and sEMG (tibialis anterior) in the high delta (3-4 Hz) and low theta (4-5 Hz) frequency bands during level walking, indicating efferent signaling from the cortex to peripheral motor neurons...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227602/development-of-high-impedance-measurement-system-for-water-leakage-detection-in-implantable-neuroprosthetic-devices
#11
Aziz Yousif, Shawn K Kelly, Aziz Yousif, Shawn K Kelly, Shawn K Kelly, Aziz Yousif
There has been a push for a greater number of channels in implantable neuroprosthetic devices; but, that number has largely been limited by current hermetic packaging technology. Microfabricated packaging is becoming reality, but a standard testing system is needed to prepare these devices for clinical trials. Impedance measurements of electrodes built into the packaging layers may give an early warning of device failure and predict device lifetime. Because the impedance magnitudes of such devices can be on the order of gigaohms, a versatile system was designed to accommodate ultra-high impedances and allow future integrated circuit implementation in current neural prosthetic technologies...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227166/modeling-distinct-sources-of-neural-variability-driving-neuroprosthetic-control
#12
Preeya Khanna, Vivek R Athalye, Suraj Gowda, Rui M Costa, Jose M Carmena, Preeya Khanna, Vivek R Athalye, Suraj Gowda, Rui M Costa, Jose M Carmena, Jose M Carmena, Vivek R Athalye, Rui M Costa, Preeya Khanna, Suraj Gowda
Many closed-loop, continuous-control brain-machine interface (BMI) architectures rely on decoding via a linear readout of noisy population neural activity. However, recent work has found that decomposing neural population activity into correlated and uncorrelated variability reveals that improvements in cursor control coincide with the emergence of correlated neural variability. In order to address how correlated and uncorrelated neural variability arises and contributes to BMI cursor control, we simulate a neural population receiving combinations of shared inputs affecting all cells and private inputs affecting only individual cells...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226808/idle-state-classification-using-spiking-activity-and-local-field-potentials-in-a-brain-computer-interface
#13
Jordan J Williams, Rex N Tien, Yoh Inoue, Andrew B Schwartz, Jordan J Williams, Rex N Tien, Yoh Inoue, Andrew B Schwartz, Rex N Tien, Andrew B Schwartz, Jordan J Williams, Yoh Inoue
Previous studies of intracortical brain-computer interfaces (BCIs) have often focused on or compared the use of spiking activity and local field potentials (LFPs) for decoding kinematic movement parameters. Conversely, using these signals to detect the initial intention to use a neuroprosthetic device or not has remained a relatively understudied problem. In this study, we examined the relative performance of spiking activity and LFP signals in detecting discrete state changes in attention regarding a user's desire to actively control a BCI device...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28198591/interpenetrating-conducting-hydrogel-materials-for-neural-interfacing-electrodes
#14
Josef Goding, Aaron Gilmour, Penny Martens, Laura Poole-Warren, Rylie Green
Conducting hydrogels (CHs) are an emerging technology in the field of medical electrodes and brain-machine interfaces. The greatest challenge to the fabrication of CH electrodes is the hybridization of dissimilar polymers (conductive polymer and hydrogel) to ensure the formation of interpenetrating polymer networks (IPN) required to achieve both soft and electroactive materials. A new hydrogel system is developed that enables tailored placement of covalently immobilized dopant groups within the hydrogel matrix...
February 15, 2017: Advanced Healthcare Materials
https://www.readbyqxmd.com/read/28190641/emergence-of-coordinated-neural-dynamics-underlies-neuroprosthetic-learning-and-skillful-control
#15
Vivek R Athalye, Karunesh Ganguly, Rui M Costa, Jose M Carmena
During motor learning, movements and underlying neural activity initially exhibit large trial-to-trial variability that decreases over learning. However, it is unclear how task-relevant neural populations coordinate to explore and consolidate activity patterns. Exploration and consolidation could happen for each neuron independently, across the population jointly, or both. We disambiguated among these possibilities by investigating how subjects learned de novo to control a brain-machine interface using neurons from motor cortex...
February 22, 2017: Neuron
https://www.readbyqxmd.com/read/28162776/the-future-of-psychiatry-brain-devices
#16
Jorge Alberto Costa E Silva, Ricardo Ewbank Steffen
Recent advances in deep brain stimulators and brain-machine interfaces have greatly expanded the possibilities of neuroprosthetics and neuromodulation. Together with advances in neuroengineering, nanotechnology, molecular biology and material sciences, it is now possible to address fundamental questions in neuroscience in new, more powerful ways. It is now possible to apply these new technologies in ways that range from augmenting and restoring function to neuromodulation modalities that treat neuropsychiatric disorders...
April 2017: Metabolism: Clinical and Experimental
https://www.readbyqxmd.com/read/28124761/laboratory-and-clinical-reliability-of-conformally-coated-subretinal-implants
#17
Renate Daschner, Udo Greppmaier, Martin Kokelmann, Sandra Rudorf, Ralf Rudorf, Sebastian Schleehauf, Walter G Wrobel
Despite recent developments and new treatments in ophthalmology there is nothing available to cure retinal degenerations like Retinitis Pigmentosa (RP) yet. One of the most advanced approaches to treat people that have gone blind due to RP is to replace the function of the degenerated photoreceptors by a microelectronic neuroprosthetic device. Basically, this subretinal active implant transforms the incoming light into electric pulses to stimulate the remaining cells of the retina. The functional time of such devices is a crucial aspect...
March 2017: Biomedical Microdevices
https://www.readbyqxmd.com/read/28123008/the-biology-of-skin-wetness-perception-and-its-implications-in-manual-function-and-for-reproducing-complex-somatosensory-signals-in-neuroprosthetics
#18
Davide Filingeri, Rochelle Ackerley
Our perception of skin wetness is generated readily, yet humans have no known receptor (hygroreceptor) to signal this directly. It is easy to imagine the sensation of water running over our hands, or the feel of rain on our skin. The synthetic sensation of wetness is thought to be produced from a combination of specific skin thermal and tactile inputs, registered through thermoreceptors and mechanoreceptors, respectively. The present review explores how thermal and tactile afference from the periphery can generate the percept of wetness centrally...
January 25, 2017: Journal of Neurophysiology
https://www.readbyqxmd.com/read/28113861/in-vivo-magnetic-stimulation-of-rat-sciatic-nerve-with-centimeter-and-millimeter-scale-solenoid-coils
#19
Zachary Kagan, Anil RamRakhyani, Gianluca Lazzi, Richard Normann, David Warren
Previous reports of magnetic stimulation of the peripheral nervous system (PNS) used various coil geometries, all with outer diameters larger than 35 mm, and stimulation energies in the 50 J range to evoke neural excitation. Recent reports of central nervous system (CNS) activation used sub-mm-scale solenoid coils with mJ energy levels. The goal of this study was to translate the lower energy levels from the CNS to the PNS via using smaller coils placed in closer proximity to the neural tissue. Such a performance improvement would advance the state of the art of magnetic stimulation and provide a path towards new neuroprosthetic devices...
March 21, 2016: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28059065/rapid-control-and-feedback-rates-enhance-neuroprosthetic-control
#20
Maryam M Shanechi, Amy L Orsborn, Helene G Moorman, Suraj Gowda, Siddharth Dangi, Jose M Carmena
Brain-machine interfaces (BMI) create novel sensorimotor pathways for action. Much as the sensorimotor apparatus shapes natural motor control, the BMI pathway characteristics may also influence neuroprosthetic control. Here, we explore the influence of control and feedback rates, where control rate indicates how often motor commands are sent from the brain to the prosthetic, and feedback rate indicates how often visual feedback of the prosthetic is provided to the subject. We developed a new BMI that allows arbitrarily fast control and feedback rates, and used it to dissociate the effects of each rate in two monkeys...
January 6, 2017: Nature Communications
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