A finite element model of the mechanical interactions between peripheral nerves and intrafascicular implants

Akouissi, Outman; Lacour, Stéphanie; Micera, Silvestro; DeSimone, Antonio

doi:10.1088/1741-2552/ac7d0e

Cited by 3 publications

(1 citation statement)

References 69 publications

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“…The four resulting images, or bio-impedance "planar maps", are combined so as to achieve higher spatial resolution and less dependency on the underlying blood vessel's orientation. A COMSOL model with simplified biological features [26], [27], [28] was used to assess the method, while experimental verification was performed on a smaller physical model (gelatine phantom).…”

Section: Introductionmentioning

confidence: 99%

A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection

Rahman,

Liatsis,

Hashim

et al. 2024

IEEE Access

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Current carotid atherosclerosis diagnostic protocols do not feature techniques that would allow for early or frequent medical examinations, leaving a significant number of asymptomatic carotid stenosis cases undetected and often leading to strokes. The key challenge is that current diagnostics are highly operator-dependent. In this work we used idealised biological models to demonstrate a new rapid, potentially inexpensive and operator-independent diagnostic method, aimed at detecting whether a stenosis exists, rather than seeking to be accurately quantifying or localising it. An array of electrodes was used to obtain sequential bioimpedance values over the skin, through a novel scanning technique, covering an area over the artery of interest. FEM simulations, verified through in-vitro experiments on gelatine phantoms, were used to validate the method. The final results, obtained through image processing algorithms, were in the form of planar bio-impedance maps and were successful both in identifying arterial features and detecting the presence of stenoses of different sizes. The results could also be used to indicate the artery's relative orientation to the sensor, eliminating the need for manual alignment by a specialist operator. Therefore, this method shows promise for routine medical examination, either in primary care, or even at home, to indicate whether a patient would require further, more detailed examinations at a specialist clinic.

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Section: Introductionmentioning

confidence: 99%

A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection

Rahman,

Liatsis,

Hashim

et al. 2024

IEEE Access

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Technology Roadmap for Flexible Sensors

et al. 2023

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Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.

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Characterization of a conductive hydrogel@Carbon fibers electrode as a novel intraneural interface

Giannotti,

Santanché,

Zinno

et al. 2024

Bioelectron Med

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Peripheral neural interfaces facilitate bidirectional communication between the nervous system and external devices, enabling precise control for prosthetic limbs, sensory feedback systems, and therapeutic interventions in the field of Bioelectronic Medicine. Intraneural interfaces hold great promise since they ensure high selectivity in communicating only with the desired nerve fascicles. Despite significant advancements, challenges such as chronic immune response, signal degradation over time, and lack of long-term biocompatibility remain critical considerations in the development of such devices. Here we report on the development and benchtop characterization of a novel design of an intraneural interface based on carbon fiber bundles. Carbon fibers possess low impedance, enabling enhanced signal detection and stimulation efficacy compared to traditional metal electrodes. We provided a 3D-stabilizing structure for the carbon fiber bundles made of PEDOT:PSS hydrogel, to enhance the biocompatibility between the carbon fibers and the nervous tissue. We further coated the overall bundles with a thin layer of elastomeric material to provide electrical insulation. Taken together, our results demonstrated that our electrode possesses adequate structural and electrochemical properties to ensure proper stimulation and recording of peripheral nerve fibers and a biocompatible interface with the nervous tissue.

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A finite element model of the mechanical interactions between peripheral nerves and intrafascicular implants

Cited by 3 publications

References 69 publications

A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection

A Quadruple-Sweep Bioimpedance Sensing Method for Arterial Stenosis Detection

Technology Roadmap for Flexible Sensors

Characterization of a conductive hydrogel@Carbon fibers electrode as a novel intraneural interface

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