Publications related to Nerve conduction study

Early decoding of walking tasks with minimal set of EMG channels

Silvestro Micera, Francesco Iberite, Federica Barberi, Eugenio Anselmino

Objective. Powered lower-limb prostheses relying on decoding motor intentions from non-invasive sensors, like electromyographic (EMG) signals, can significantly improve the quality of life of amputee subjects. However, the optimal combination of high decod ...

IOP Publishing Ltd2023

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Silvestro Micera, Simone Romeni, Elena Losanno, Luca Pierantoni

Objective. Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon ...

IOP Publishing Ltd2023

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Silvestro Micera, Simone Romeni, Luca Pierantoni, Gabriele Marino

Computational models have been widely employed to study the electrical stimulation of the nervous system. Still, most applications either study fundamental mechanisms underlying stimulation, or address qualitative scientific questions. When quantitative qu ...

IEEE2023

Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals

Silvestro Micera, Ivo Strauss, Giacomo Valle

Objective. Recent results have shown the potentials of neural interfaces to provide sensory feedback to subjects with limb amputation increasing prosthesis usability. However, their advantages for decoding motor control signals over current methods based o ...

IOP Publishing Ltd2021

Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers

Silvestro Micera, Fiorenzo Artoni, Luca Tonin, Stefano Tortora

Despite the advances in the field of brain computer interfaces (BCI), the use of the sole electroencephalography (EEG) signal to control walking rehabilitation devices is currently not viable in clinical settings, due to its unreliability. Hybrid interface ...

2020

Tutorial: a computational framework for the design and optimization of peripheral neural interfaces

Silvestro Micera, Simone Romeni, Giacomo Valle

Peripheral neural interfaces have been successfully used in the recent past to restore sensory-motor functions in disabled subjects and for the neuromodulation of the autonomic nervous system. The optimization of these neural interfaces is crucial for ethi ...

NATURE RESEARCH2020

Characterization of multi-channel intraneural stimulation in transradial amputees

Silvestro Micera, Stanisa Raspopovic, Fiorenzo Artoni, Francesco Maria Petrini, Ivo Strauss, Giacomo Valle, Edoardo D'Anna

Although peripheral nerve stimulation using intraneural electrodes has been shown to be an effective and reliable solution to restore sensory feedback after hand loss, there have been no reports on the characterization of multi-channel stimulation. A deepe ...

Springer2019

Schwann cells ER-associated degradation contributes to myelin maintenance in adult nerves and limits demyelination in CMT1B mice

Maurizio Molinari, Francesca Bianchi

In the peripheral nervous system (PNS) myelinating Schwann cells synthesize large amounts of myelin protein zero (P0) glycoprotein, an abundant component of peripheral nerve myelin. In humans, mutations in P0 cause the demyelinating Charcot-Marie-Tooth 1B ...

2019

A microfabricated nerve-on-a-chip platform for rapid assessment of neural conduction in explanted peripheral nerve fibers

Stéphanie Lacour, Diego Ghezzi, Sandra Gribi, Sophie du Bois de Dunilac

Peripheral nerves are anisotropic and heterogeneous neural tissues. Their complex physiology restricts realistic in vitro models, and high resolution and selective probing of axonal activity. Here, we present a nerve-on-a-chip platform that enables rapid e ...

2018

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Nerve conduction study

Early decoding of walking tasks with minimal set of EMG channels

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals

Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers

Tutorial: a computational framework for the design and optimization of peripheral neural interfaces

Cognitive neuroprosthetics for investigating and restoring body perception

Characterization of multi-channel intraneural stimulation in transradial amputees

Schwann cells ER-associated degradation contributes to myelin maintenance in adult nerves and limits demyelination in CMT1B mice

A microfabricated nerve-on-a-chip platform for rapid assessment of neural conduction in explanted peripheral nerve fibers

Graph Chatbot

Chat with Graph Search

Machine-learning predictor of nerve fiber firing rate allows the automatic optimization of electrical stimulation protocols

Cognitive neuroprosthetics for investigating and restoring body perception

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals

Hybrid Human-Machine Interface for Gait Decoding Through Bayesian Fusion of EEG and EMG Classifiers

Tutorial: a computational framework for the design and optimization of peripheral neural interfaces

Characterization of multi-channel intraneural stimulation in transradial amputees

Schwann cells ER-associated degradation contributes to myelin maintenance in adult nerves and limits demyelination in CMT1B mice

A microfabricated nerve-on-a-chip platform for rapid assessment of neural conduction in explanted peripheral nerve fibers