Bidirectional Limb Neuro-Prosthesis

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Publications associées (31)

Hand Control With Invasive Feedback Is Not Impaired by Increased Cognitive Load

Edoardo D'Anna, Silvestro Micera, Francesco Maria Petrini, Ivo Strauss, Giacomo Valle

Recent experiments have shown that neural stimulation can successfully restore sensory feedback in upper-limb amputees improving their ability to control the prosthesis. However, the potential advantages of invasive sensory feedback with respect to non-inv ...

2020

Sensitivity to temporal parameters of intraneural tactile sensory feedback

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

Background Recent studies have shown that neural stimulation can be used to provide artificial sensory feedback to amputees eliciting sensations referred on the amputated hand. The temporal properties of the neural stimulation modulate aspects of evoked se ...

BioMed Central2020

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

Silvestro Micera, Giacomo Valle, Simone Romeni

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

Longitudinal neural and vascular structural dynamics produced by chronic microelectrode implantation

Andrea Lozzi

Implanted microelectrode arrays sense local neuronal activity, signals which are used as control commands for brain computer interface (BCI) technology. Patients with tetraplegia have used BCI technology to achieve an extraordinary degree of interaction wi ...

2020

Soft Printable Electrode Coating for Neural Interfaces

Florian Dylan Fallegger, Elvira Pirondini, Stéphanie Lacour, Arnaud Bichat, Grégoire Courtine, Quentin Barraud, Michael Shur

The mechanical mismatch between implantable interfaces and neural tissues may be reduced by employing soft polymeric materials. Here, we report on a simple strategy to prepare and pattern a soft electrode coating of neural interfacing devices based on a sc ...

2020

Deep learning-based BCI for gait decoding from EEG with LSTM recurrent neural network

Silvestro Micera, Fiorenzo Artoni, Stefano Tortora

Objective.Mobile Brain/Body Imaging (MoBI) frameworks allowed the research community to find evidence of cortical involvement at walking initiation and during locomotion. However, the decoding of gait patterns from brain signals remains an open challenge. ...

IOP PUBLISHING LTD2020

A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control

Alexandre Schmid, Reza Ranjandish

Closed-loop implantable electronics offer a new trend in therapeutic systems aimed at controlling some neurological diseases such as epilepsy. Seizures are detected and electrical stimulation applied to the brain or groups of nerves. To this aim, the signa ...

2020

Brain reactions to the use of sensorized hand prosthesis in amputees

Fabrizio Vecchio, Edoardo D'Anna, Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini, Ivo Strauss, Giacomo Valle, Francesco Iberite

Objective We investigated for the first time the presence of chronic changes in the functional organization of sensorimotor brain areas induced by prolonged training with a bidirectional hand prosthesis. Methods A multimodal neurophysiological and neuroima ...

2020

Integration of hybrid material systems in conformable neural interfaces

Florian Dylan Fallegger

Neural interfaces are devices that are implanted into the body and interface electrically with the central (CNS) or peripheral nervous system. They are inserted surgically for short periods of time or chronically to diagnose or treat several neural disease ...

EPFL2020

Neural signal recording and processing in somatic neuroprosthetic applications. A review

Silvestro Micera, Stanisa Raspopovic, Andrea Cimolato

Neurointerfaces have acquired major relevance as both rehabilitative and therapeutic tools for patients with spinal cord injury, limb amputations and other neural disorders. Bidirectional neural interfaces are a key component for the functional control of ...

ELSEVIER2020

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

Luca Tonin, Silvestro Micera, Fiorenzo Artoni, 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

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