scholarly journals Conducting polymers grown in hydrogel scaffolds coated on neural prosthetic devices

2004 ◽  
Vol 71A (4) ◽  
pp. 577-585 ◽  
Author(s):  
Dong-Hwan Kim ◽  
Mohammad Abidian ◽  
David C. Martin
Keyword(s):  
Conducting Polymers ◽  
Prosthetic Devices ◽  
Neural Prosthetic ◽  
Hydrogel Scaffolds

Soft, Fuzzy, and Bioactive Conducting Polymers for Improving the Chronic Performance of Neural Prosthetic Devices

2007 ◽  
pp. 177-219 ◽  
Author(s):  
Dong-Hwan Kim ◽  
Sarah Richardson-Burns ◽  
Laura Povlich ◽  
Mohammad Reza Abidian ◽  
Sarah Spanninga ◽  
...  
Keyword(s):  
Conducting Polymers ◽  
Prosthetic Devices ◽  
Neural Prosthetic

scholarly journals Layered Nanocomposites from Gold Nanoparticles for Neural Prosthetic Devices

Nano Letters ◽  
2012 ◽  
Vol 12 (7) ◽  
pp. 3391-3398 ◽  
Author(s):  
Huanan Zhang ◽  
Jimmy Shih ◽  
Jian Zhu ◽  
Nicholas A. Kotov
Keyword(s):  
Gold Nanoparticles ◽  
Prosthetic Devices ◽  
Neural Prosthetic

A Biomimetic Adaptive Algorithm and Micropower Circuit Architecture for Implantable Neural Decoders

2011 ◽  
pp. 581-619
Author(s):  
Benjamin I. Rapoport ◽  
Rahul Sarpeshkar
Keyword(s):  
Real Time ◽  
Analog Circuit ◽  
Decoding Algorithm ◽  
Prosthetic Devices ◽  
Neural Prosthetic ◽  
Neural Data ◽  
Time Operation ◽  
Real Time Operation ◽  
Synaptic Dynamics ◽  
Cell Ensemble

Algorithmically and energetically efficient computational architectures that operate in real time are essential for clinically useful neural prosthetic devices. Such architectures decode raw neural data to obtain direct motor control signals for external devices. They can also perform data compression and vastly reduce the bandwidth and consequently power expended in wireless transmission of raw data from implantable brain–machine interfaces. We describe a biomimetic algorithm and micropower analog circuit architecture for decoding neural cell ensemble signals. The decoding algorithm implements a continuous-time artificial neural network, using a bank of adaptive linear filters with kernels that emulate synaptic dynamics. The filters transform neural signal inputs into control-parameter outputs, and can be tuned automatically in an on-line learning process. We demonstrate that the algorithm is suitable for decoding both local field potentials and mean spike rates. We also provide experimental validation of our system, decoding discrete reaching decisions from neuronal activity in the macaque parietal cortex, and decoding continuous head direction trajectories from cell ensemble activity in the rat thalamus. We further describe a method of mapping the algorithm to a highly parallel circuit architecture capable of continuous learning and real-time operation. Circuit simulations of a subthreshold analog CMOS instantiation of the architecture reveal that its performance is comparable to the predicted performance of our decoding algorithm for a system decoding three control parameters from 100 neural input channels at microwatt levels of power consumption. While the algorithm and decoding architecture are suitable for analog or digital implementation, we indicate how a micropower analog system trades some algorithmic programmability for reductions in power and area consumption that could facilitate implantation of a neural decoder within the brain. We also indicate how our system can compress neural data more than 100,000-fold, greatly reducing the power needed for wireless telemetry of neural data.

scholarly journals Stability Performance Analysis of Various Packaging Materials and Coating Strategies for Chronic Neural Implants under Accelerated, Reactive Aging Tests

Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 810
Author(s):  
Yan Gong ◽  
Wentai Liu ◽  
Runyu Wang ◽  
Matthew Harris Brauer ◽  
Kristine Zheng ◽  
...  
Keyword(s):  
Packaging Materials ◽  
Neural Implants ◽  
Three Solutions ◽  
Parylene C ◽  
Prosthetic Devices ◽  
Neural Prosthetic ◽  
Stability Performance ◽  
Interface Delamination ◽  
The Stability ◽  
Phosphate Buffered Saline

Reliable packaging for implantable neural prosthetic devices in body fluids is a long-standing challenge for devices’ chronic applications. This work studied the stability of Parylene C (PA), SiO2, and Si3N4 packages and coating strategies on tungsten wires using accelerated, reactive aging tests in three solutions: pH 7.4 phosphate-buffered saline (PBS), PBS + 30 mM H2O2, and PBS + 150 mM H2O2. Different combinations of coating thicknesses and deposition methods were studied at various testing temperatures. Analysis of the preliminary data shows that the pinholes/defects, cracks, and interface delamination are the main attributes of metal erosion and degradation in reactive aging solutions. Failure at the interface of package and metal is the dominating factor in the wire samples with open tips.

scholarly journals Typical somatomotor physiology of the hand is preserved in a patient with an amputated arm

2021 ◽  
Author(s):  
Max van den Boom ◽  
Kai J. Miller ◽  
Nicholas M. Gregg ◽  
Gabriela Ojeda ◽  
Kendall H. Lee ◽  
...  
Keyword(s):  
Frequency Band ◽  
Sensorimotor Cortex ◽  
Hand Movement ◽  
Phantom Limb Pain ◽  
Phantom Limb ◽  
Support Vector ◽  
Finger Movements ◽  
Prosthetic Devices ◽  
Neural Prosthetic ◽  
Brainstem Stroke

AbstractElectrophysiological signals in the human motor system may change in different ways after deafferentation, with some studies emphasizing reorganization while others propose retained physiology. Understanding whether motor electrophysiology is retained over longer periods of time can be invaluable for patients with paralysis (e.g. ALS or brainstem stroke) when signals from sensorimotor areas may be used for communication or control over neural prosthetic devices. In addition, a maintained electrophysiology can potentially benefit the treatment of phantom limb pains through prolonged use of these signals in a brain-machine interface (BCI).Here, we were presented with the unique opportunity to investigate the physiology of the sensorimotor cortex in a patient with an amputated arm using electrocorticographic (ECoG) measurements. While implanted with an ECoG grid for clinical evaluation of electrical stimulation for phantom limb pain, the patient performed attempted finger movements with the contralateral (lost) hand and executed finger movements with the ipsilateral (healthy) hand.The electrophysiology of the sensorimotor cortex contralateral to the amputated hand remained very similar to that of hand movement in healthy people, with a spatially focused increase of high-frequency band (65-175Hz; HFB) power over the hand region and a distributed decrease in low-frequency band (15-28Hz; LFB) power. The representation of the three different fingers (thumb, index and little) remained intact and HFB patterns could be decoded using support vector learning at single-trial classification accuracies of >90%, based on the first 1-3s of the HFB response. These results demonstrate that hand representations are largely retained in the motor cortex. The intact physiological response of the amputated hand, the high distinguishability of the fingers and fast temporal peak are encouraging for neural prosthetic devices that target the sensorimotor cortex.

scholarly journals Turning Neural Prosthetics Into Viable Products

2021 ◽  
Vol 8 ◽  
Author(s):  
Gerald E. Loeb ◽  
Frances J. Richmond
Keyword(s):  
Intellectual Property ◽  
De Novo ◽  
Class Iii ◽  
Prosthetic Devices ◽  
Neural Prosthetic ◽  
Novel Treatments ◽  
Track Record ◽  
Computer Interfaces ◽  
Guidance Documents ◽  
Novel Applications

Academic researchers concentrate on the scientific and technological feasibility of novel treatments. Investors and commercial partners, however, understand that success depends even more on strategies for regulatory approval, reimbursement, marketing, intellectual property protection and risk management. These considerations are critical for technologically complex and highly invasive treatments that entail substantial costs and risks in small and heterogeneous patient populations. Most implanted neural prosthetic devices for novel applications will be in FDA Device Class III, for which guidance documents have been issued recently. Less invasive devices may be eligible for the recently simplified “de novo” submission routes. We discuss typical timelines and strategies for integrating the regulatory path with approval for reimbursement, securing intellectual property and funding the enterprise, particularly as they might apply to implantable brain-computer interfaces for sensorimotor disabilities that do not yet have a track record of approved products.

scholarly journals Real-Time Decision Fusion for Multimodal Neural Prosthetic Devices

PLoS ONE ◽  
2010 ◽  
Vol 5 (3) ◽  
pp. e9493 ◽  
Author(s):  
James Robert White ◽  
Todd Levy ◽  
William Bishop ◽  
James D. Beaty
Keyword(s):  
Real Time ◽  
Decision Fusion ◽  
Prosthetic Devices ◽  
Neural Prosthetic
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