9 results on '"Zinno C"'
Search Results
2. Neural Stimulation Hardware for the Selective Intrafascicular Modulation of the Vagus Nerve
- Author
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Strauss, I., primary, Agnesi, F., additional, Zinno, C., additional, Giannotti, A., additional, Dushpanova, A., additional, Casieri, V., additional, Terlizzi, D., additional, Bernini, F., additional, Gabisonia, K., additional, Wu, Y., additional, Jiang, D., additional, Paggi, V., additional, Lacour, S., additional, Recchia, F., additional, Demosthenous, A., additional, Lionetti, V., additional, and Micera, S., additional
- Published
- 2023
- Full Text
- View/download PDF
3. Implantable Fiber Bragg Grating Sensor for Continuous Heart Activity Monitoring: Ex-Vivo and In-Vivo Validation
- Author
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Domenico Camboni, Davide Ferraro, Thomas Schlöglhofer, Fabio Bernini, Guido Giudetti, Calogero Maria Oddo, Giacomo D'Alesio, Jacopo Carpaneto, Valentina Casieri, Vincenzo Lionetti, Domiziana Terlizzi, Leone Costi, Philipp Aigner, Martin Maw, Francesco Moscato, Max Haberbusch, Andrea Aliperta, Silvestro Micera, Ewald Unger, Luca Massari, Gianni Pedrizzetti, Ciro Zinno, Ferraro, D., D'Alesio, G., Camboni, D., Zinno, C., Costi, L., Haberbusch, M., Aigner, P., Maw, M., Schloglhofer, T., Unger, E., Aliperta, A., Bernini, F., Casieri, V., Terlizzi, D., Giudetti, G., Carpaneto, J., Pedrizzetti, G., Micera, S., Lionetti, V., Moscato, F., Massari, L., and Oddo, C. M.
- Subjects
fiber bragg grating ,Cardiac function curve ,Computer science ,fiber gratings ,heart ,sensors ,doppler ,pressure ,symbols.namesake ,strain ,Fiber Bragg grating ,increase ,Heart rate ,medicine ,heart monitoring ,neural networks ,Electrical and Electronic Engineering ,Instrumentation ,Artificial neural network ,optical fiber sensors ,medicine.disease ,Soft sensor ,monitoring ,Recurrent neural network ,Heart failure ,cardiovascular system ,symbols ,rate-variability ,Doppler effect ,mechanical sensors ,Biomedical engineering - Abstract
Continuous and reliable cardiac function monitoring could improve medication adherence in patients at risk of heart failure. This work presents an innovative implantable Fiber Bragg Grating-based soft sensor designed to sense mechanical cardiac activity. The sensor was tested in an isolated beating ovine heart platform, with 3 different hearts operated in wide-ranging conditions. In order to investigate the sensor capability to track the ventricular beats in real-time, two causal algorithms were proposed for detecting the beats from sensor data and to discriminate artifacts. The first based on dynamic thresholds while the second is a hybrid convolutional and recurrent Neural Network. An error of 2.7 +/- 0.7 beats per minute was achieved in tracking the heart rate. Finally, we have confirmed the sensor reliability in monitoring the heart activity of healthy adult minipig with an error systematically lower than 1 Bpm.
- Published
- 2021
4. Characterization of a conductive hydrogel@Carbon fibers electrode as a novel intraneural interface.
- Author
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Giannotti A, Santanché R, Zinno C, Carpaneto J, Micera S, and Riva ER
- Abstract
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., (© 2024. The Author(s).)
- Published
- 2024
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5. A multi-channel stimulator with an active electrode array implant for vagal-cardiac neuromodulation studies.
- Author
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Liu F, Habibollahi M, Wu Y, Neshatvar N, Zhang J, Zinno C, Akouissi O, Bernini F, Alibrandi L, Gabisonia K, Lionetti V, Carpaneto J, Lancashire H, Jiang D, Micera S, and Demosthenous A
- Abstract
Background: Implantable vagus nerve stimulation is a promising approach for restoring autonomic cardiovascular functions after heart transplantation. For successful treatment a system should have multiple electrodes to deliver precise stimulation and complex neuromodulation patterns., Methods: This paper presents an implantable multi-channel stimulation system for vagal-cardiac neuromodulation studies in swine species. The system comprises an active electrode array implant percutaneously connected to an external wearable controller. The active electrode array implant has an integrated stimulator ASIC mounted on a ceramic substrate connected to an intraneural electrode array via micro-rivet bonding. The implant is silicone encapsulated for biocompatibility and implanted lifetime. The stimulation parameters are remotely transmitted via a Bluetooth telemetry link., Results: The size of the encapsulated active electrode array implant is 8 mm × 10 mm × 3 mm. The stimulator ASIC has 10-bit current amplitude resolution and 16 independent output channels, each capable of delivering up to 550 µA stimulus current and a maximum voltage of 20 V. The active electrode array implant was subjected to in vitro accelerated lifetime testing at 70 °C for 7 days with no degradation in performance. After over 2 h continuous stimulation, the surface temperature change of the implant was less than 0.5 °C. In addition, in vivo testing on the sciatic nerve of a male Göttingen minipig demonstrated that the implant could effectively elicit an EMG response that grew progressively stronger on increasing the amplitude of the stimulation., Conclusions: The multi-channel stimulator is suitable for long term implantation. It shows potential as a useful tool in vagal-cardiac neuromodulation studies in animal models for restoring autonomic cardiovascular functions after heart transplantation., (© 2024. The Author(s).)
- Published
- 2024
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6. Bioelectronic modulation of carotid sinus nerve to treat type 2 diabetes: current knowledge and future perspectives.
- Author
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Conde SV, Sacramento JF, Zinno C, Mazzoni A, Micera S, and Guarino MP
- Abstract
Bioelectronic medicine are an emerging class of treatments aiming to modulate body nervous activity to correct pathological conditions and restore health. Recently, it was shown that the high frequency electrical neuromodulation of the carotid sinus nerve (CSN), a small branch of the glossopharyngeal nerve that connects the carotid body (CB) to the brain, restores metabolic function in type 2 diabetes (T2D) animal models highlighting its potential as a new therapeutic modality to treat metabolic diseases in humans. In this manuscript, we review the current knowledge supporting the use of neuromodulation of the CSN to treat T2D and discuss the future perspectives for its clinical application. Firstly, we review in a concise manner the role of CB chemoreceptors and of CSN in the pathogenesis of metabolic diseases. Secondly, we describe the findings supporting the potential therapeutic use of the neuromodulation of CSN to treat T2D, as well as the feasibility and reversibility of this approach. A third section is devoted to point up the advances in the neural decoding of CSN activity, in particular in metabolic disease states, that will allow the development of closed-loop approaches to deliver personalized and adjustable treatments with minimal side effects. And finally, we discuss the findings supporting the assessment of CB activity in metabolic disease patients to screen the individuals that will benefit therapeutically from this bioelectronic approach in the future., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision., (Copyright © 2024 Conde, Sacramento, Zinno, Mazzoni, Micera and Guarino.)
- Published
- 2024
- Full Text
- View/download PDF
7. A soft, scalable and adaptable multi-contact cuff electrode for targeted peripheral nerve modulation.
- Author
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Paggi V, Fallegger F, Serex L, Rizzo O, Galan K, Giannotti A, Furfaro I, Zinno C, Bernini F, Micera S, and Lacour SP
- Abstract
Background: Cuff electrodes target various nerves throughout the body, providing neuromodulation therapies for motor, sensory, or autonomic disorders. However, when using standard, thick silicone cuffs, fabricated in discrete circular sizes, complications may arise, namely cuff displacement or nerve compression, due to a poor adaptability to variable nerve shapes and sizes encountered in vivo. Improvements in cuff design, materials, closing mechanism and surgical approach are necessary to overcome these issues., Methods: In this work, we propose a microfabricated multi-channel silicone-based soft cuff electrode with a novel easy-to-implant and size-adaptable design and evaluate a number of essential features such as nerve-cuff contact, nerve compression, cuff locking stability, long-term integration and stimulation selectivity. We also compared performance to that of standard fixed-size cuffs., Results: The belt-like cuff made of 150 μm thick silicone membranes provides a stable and pressure-free conformal contact, independently of nerve size variability, combined with a straightforward implantation procedure. The adaptable design and use of soft materials lead to limited scarring and demyelination after 6-week implantation. In addition, multi-contact designs, ranging from 6 to 16 electrodes, allow for selective stimulation in models of rat and pig sciatic nerve, achieving targeted activation of up to 5 hindlimb muscles., Conclusion: These results suggest a promising alternative to classic fixed-diameter cuffs and may facilitate the adoption of soft, adaptable cuffs in clinical settings., (© 2024. The Author(s).)
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- 2024
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8. Improved Physiochemical Properties of Chitosan@PCL Nerve Conduits by Natural Molecule Crosslinking.
- Author
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Bianchini M, Zinno C, Micera S, and Redolfi Riva E
- Subjects
- Nerve Regeneration, Iridoids pharmacology, Iridoids chemistry, Tissue Scaffolds chemistry, Chitosan chemistry
- Abstract
Nerve conduits may represent a valuable alternative to autograft for the regeneration of long-gap damages. However, no NCs have currently reached market approval for the regeneration of limiting gap lesions, which still represents the very bottleneck of this technology. In recent years, a strong effort has been made to envision an engineered graft to tackle this issue. In our recent work, we presented a novel design of porous/3D-printed chitosan/poly-ε-caprolactone conduits, coupling freeze drying and additive manufacturing technologies to yield conduits with good structural properties. In this work, we studied genipin crosslinking as strategy to improve the physiochemical properties of our conduit. Genipin is a natural molecule with very low toxicity that has been used to crosslink chitosan porous matrix by binding the primary amino group of chitosan chains. Our characterization evidenced a stabilizing effect of genipin crosslinking towards the chitosan matrix, with reported modified porosity and ameliorated mechanical properties. Given the reported results, this method has the potential to improve the performance of our conduits for the regeneration of long-gap nerve injuries.
- Published
- 2023
- Full Text
- View/download PDF
9. Beef Steers and Enteric Methane: Reducing Emissions by Managing Forage Diet Fiber Content.
- Author
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Santander D, Clariget J, Banchero G, Alecrim F, Simon Zinno C, Mariotta J, Gere J, and Ciganda VS
- Abstract
Understanding the methane (CH
4 ) emissions that are produced by enteric fermentation is one of the main problems to be solved for livestock, due to their GHG effects. These emissions are affected by the quantity and quality of their diets, thus, it is key to accurately define the intake and fiber content (NDF) of these forage diets. On the other hand, different emission prediction equations have been developed; however, there are scarce and uncertain results regarding their evaluation of the emissions that have been observed in forage diets. Therefore, the objectives of this study were to evaluate the effect of the NDF content of a forage diet on CH4 enteric emissions, and to evaluate the ability of models to predict the emissions from the animals that are consuming these forage diets. In total, thirty-six Angus steers (x¯ = 437 kg live weight) aged 18 months, blocked by live weight and placed in three automated feeding pens, were used to measure the enteric CH4 . The animals were randomly assigned to two forage diets (n = 18), with moderate (<50%, MF) and high (>50%, HF) NDF contents. Their dry matter intake was recorded individually, and the CH4 emissions were measured using the SF6 tracer gas technique. For the model evaluation, six prediction equations were compared with 29 studies ( n = 97 observations), analyzing the accuracy and precision of their estimates. The emission intensities per unit of DMI, per ADG, and per gross energy intake were significantly lower ( p < 0.05) in the animals consuming the MF diet than in the animals consuming the HF diet (21.7 vs. 23.7 g CH4 /kg DMI, 342 vs. 660 g CH4 /kg ADG, and 6.7% vs. 7.5%, respectively), but there were no differences in the absolute emissions ( p > 0.05). The best performing model was the IPCC 2006 model ( r2 = 0.7, RMSE = 74.04). These results show that reducing the NDF content of a forage diet by at least 10% (52 g/kg DM) reduces the intensity of the g CH4 /kg DMI by up to 8%, and that of the g CH4 /kg ADG by almost half. The use of the IPCC 2006 model is suitable for estimating the CH4 emissions from animals consuming forage-based diets.- Published
- 2023
- Full Text
- View/download PDF
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