Update on Peripheral Nerve Electrodes for Closed-Loop Neuroprosthetics

Rijnbeek, Emil H.; Eleveld, Nick; Olthuis, Wouter

doi:10.3389/fnins.2018.00350

Cited by 63 publications

(46 citation statements)

References 59 publications

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“…6a) is constructed from platinum or platinum iridium wires insulated with teflon, or from metalized Kevlar fibers insulated with silicone. It is placed longitudinally inside a nerve fascicle, and its small deinsulated region touches the nerve fibers [8]. It has been proved that LIFEs can sensitively record sensory signals [87].…”

Section: Intra-fascicular Electrodesmentioning

confidence: 99%

“…Each group of LIFEs can be implanted Fig. 6 Several forms of intrafascicular electrodes a The intrafascicular drawing of LIFE [84] b Schematic of the TIME [8] c Illustration of the SELINE [85] d USEA [86] in different nerves, and each LIFE can be implanted in different fascicles or in the separate areas of the same fascicle [94]. A 6-month rat study showed electrode breakage in a small percent of the electrodes leading to failure [95].…”

Section: Intra-fascicular Electrodesmentioning

confidence: 99%

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Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review

Yildiz

Shin

Kaufman

2020

J NeuroEngineering Rehabil

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The field of prosthetics has been evolving and advancing over the past decade, as patients with missing extremities are expecting to control their prostheses in as normal a way as possible. Scientists have attempted to satisfy this expectation by designing a connection between the nervous system of the patient and the prosthetic limb, creating the field of neuroprosthetics. In this paper, we broadly review the techniques used to bridge the patient's peripheral nervous system to a prosthetic limb. First, we describe the electrical methods including myoelectric systems, surgical innovations and the role of nerve electrodes. We then describe non-electrical methods used alone or in combination with electrical methods. Design concerns from an engineering point of view are explored, and novel improvements to obtain a more stable interface are described. Finally, a critique of the methods with respect to their long-term impacts is provided. In this review, nerve electrodes are found to be one of the most promising interfaces in the future for intuitive user control. Clinical trials with larger patient populations, and for longer periods of time for certain interfaces, will help to evaluate the clinical application of nerve electrodes.

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Section: Intra-fascicular Electrodesmentioning

confidence: 99%

Section: Intra-fascicular Electrodesmentioning

confidence: 99%

Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review

Yildiz

Shin

Kaufman

2020

J NeuroEngineering Rehabil

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“…Applications of NIs implanted in the peripheral nervous system include: restoring movement after paralysis [1]; creating prosthetic limbs with intuitive control and sensory feedback [2]; and treating conditions such as bladder dysfunction [3], epilepsy [4], hypertension [5], as well as inflammatory and autoimmune disorders [6]. Despite their potential benefits, widespread implementation of NIs in the peripheral nervous system still faces several obstacles, including damage to neural tissue, a lack of long-term stability, and low signal resolution [7]. These issues may be solved, or at least mitigated, by improving the design of new NIs.…”

Section: Introductionmentioning

confidence: 99%

Automatic three-dimensional reconstruction of fascicles in peripheral nerves from histological images

et al. 2020

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Computational studies can be used to support the development of peripheral nerve interfaces, but currently use simplified models of nerve anatomy, which may impact the applicability of simulation results. To better quantify and model neural anatomy across the population, we have developed an algorithm to automatically reconstruct accurate peripheral nerve models from histological cross-sections. We acquired serial median nerve crosssections from human cadaveric samples, staining one set with hematoxylin and eosin (H&E) and the other using immunohistochemistry (IHC) with anti-neurofilament antibody. We developed a four-step processing pipeline involving registration, fascicle detection, segmentation, and reconstruction. We compared the output of each step to manual ground truths, and additionally compared the final models to commonly used extrusions, via intersection-over-union (IOU). Fascicle detection and segmentation required the use of a neural network and active contours in H&E-stained images, but only simple image processing methods for IHC-stained images. Reconstruction achieved an IOU of 0.42±0.07 for H&E and 0.37±0.16 for IHC images, with errors partially attributable to global misalignment at the registration step, rather than poor reconstruction. This work provides a quantitative baseline for fully automatic construction of peripheral nerve models. Our models provided fascicular shape and branching information that would be lost via extrusion.

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“…Applications of NIs implanted in the peripheral nervous system include: restoring movement after paralysis (1); creating prosthetic limbs with intuitive control and sensory feedback(2); and treating conditions such as bladder dysfunction(3), epilepsy(4), hypertension(5), as well as inflammatory and autoimmune disorders(6). Despite their potential benefits, widespread implementation of NIs in the peripheral nervous system still faces several obstacles, including damage to neural tissue, a lack of long-term stability, and low signal resolution(7). These issues may be solved, or at least mitigated, by improving the design of new NIs.…”

Section: Introductionmentioning

confidence: 99%

Automatic Three-Dimensional Reconstruction of Fascicles in Peripheral Nerves from Histological Images

Tovbis

Zariffa

Agur

et al. 2020

Preprint

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AbstractComputational studies can be used to support the development of peripheral nerve interfaces, but currently use simplified models of nerve anatomy, which may impact the applicability of simulation results. To better quantify and model neural anatomy across the population, we have developed an algorithm to automatically reconstruct accurate peripheral nerve models from histological cross-sections. We acquired serial median nerve cross-sections from human cadaveric samples, staining one set with hematoxylin and eosin (H&E) and the other using immunohistochemistry (IHC) with anti-neurofilament antibody. We developed a four-step processing pipeline involving registration, fascicle detection, segmentation, and reconstruction. We compared the output of each step to manual ground truths, and additionally compared the final models to commonly used extrusions, via intersection-over-union (IOU). Fascicle detection and segmentation required the use of a neural network and active contours in H&E-stained images, but only simple image processing methods for IHC-stained images. Reconstruction achieved an IOU of 0.42±0.07 for H&E and 0.37±0.16 for IHC images, with errors partially attributable to global misalignment at the registration step, rather than poor reconstruction. This work provides a quantitative baseline for fully automatic construction of peripheral nerve models. Our models provided fascicular shape and branching information that would be lost via extrusion.

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Update on Peripheral Nerve Electrodes for Closed-Loop Neuroprosthetics

Cited by 63 publications

References 59 publications

Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review

Interfaces with the peripheral nervous system for the control of a neuroprosthetic limb: a review

Automatic three-dimensional reconstruction of fascicles in peripheral nerves from histological images

Automatic Three-Dimensional Reconstruction of Fascicles in Peripheral Nerves from Histological Images

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