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Silvestro Micera

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Publications associées (314)

Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study

Jenifer Cléa Miehlbradt, Nawal Noëlle Kinany, Elvira Pirondini, Silvestro Micera, Martina Coscia, Christian Giang, Camilla Pierella

Background In the past years, robotic systems have become increasingly popular in upper limb rehabilitation. Nevertheless, clinical studies have so far not been able to confirm superior efficacy of robotic therapy over conventional methods. The personaliza ...

2020

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

Using Low-Power, Low-Cost IoT Processors in Clinical Biosignal Research: an In-depth Feasibility Check

Silvestro Micera, Fiorenzo Artoni

Research on biosignal (ExG) analysis is usually performed with expensive systems requiring connection with external computers for data processing. Consumer-grade low-cost wearable systems for bio-potential monitoring and embedded processing have been prese ...

IEEE2020

Decoding of grasping tasks from intraneural recordings in trans-radial amputee

Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini, Ivo Strauss, Giacomo Valle

Objective. A major challenge in neuroprosthetics is the restoration of sensory-motor hand functions in upper-limb amputees. Neuroprostheses based on the direct re-connection of the peripheral nerves may be an interesting approach for re-establishing the na ...

2020

Discrimination of Walking and Standing from Entropy of EEG Signals and Common Spatial Patterns

Silvestro Micera, Fiorenzo Artoni

Recently, the complexity analysis of brain activity has shown the possibility to provide additional information to discriminate between rest and motion in real-time. In this work, we propose a novel entropy-based machine learning method to classify between ...

IEEE2020

Systematic analysis of wavelet denoising methods for neural signal processing

Silvestro Micera

Objective. Among the different approaches for denoising neural signals, wavelet-based methods are widely used due to their ability to reduce in-band noise. All wavelet denoising algorithms have a common structure, but their effectiveness strongly depends o ...

IOP PUBLISHING LTD2020

Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience

Auke Ijspeert, Alain Destexhe, Axel von Arnim, Marc-Oliver Gewaltig, Silvestro Micera, Emanuele Formento, Egidio Falotico, Lorenzo Vannucci, Shravan Tata Ramalingasetty, Maria Pasquini, Emmanouil Angelidis

Being able to replicate real experiments with computational simulations is a unique opportunity to refine and validate models with experimental data and redesign the experiments based on simulations. However, since it is technically demanding to model all ...

FRONTIERS MEDIA SA2020

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

Intent Prediction Based on Biomechanical Coordination of EMG and Vision-Filtered Gaze for End-Point Control of an Arm Prosthesis

Aude Billard, Silvestro Micera, Iason Batzianoulis, Nili Eliana Krausz

We propose a novel controller for powered prosthetic arms, where fused EMG and gaze data predict the desired end-point for a full arm prosthesis, which could drive the forward motion of individual joints. We recorded EMG, gaze, and motion-tracking during p ...

2020

A data-driven polynomial approach to reproduce the scar tissue outgrowth around neural implants

Silvestro Micera

Despite the huge complexity of the foreign body reaction, a quantitative assessment over time of the scar tissue thickness around implanted materials is needed to figure out the evolution of neural implants for long times. A data-driven approach, based on ...

SPRINGER2020

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

Stability of flexible thin-film metallization stimulation electrodes: analysis of explants after first-in-human study and improvement ofin vivoperformance

Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini

Objective.Micro-fabricated neural interfaces based on polyimide (PI) are achieving increasing importance in translational research. The ability to produce well-defined micro-structures with properties that include chemical inertness, mechanical flexibility ...

2020

Spatially selective activation of the visual cortex via intraneural stimulation of the optic nerve

Vivien Gaillet, Silvestro Micera, Diego Ghezzi, Paola Vagni, Fiorenzo Artoni, Dario Lipucci Di Paola, Ariastity Mega Pratiwi

Retinal prostheses can restore a functional form of vision in patients affected by dystrophies of the outer retinal layer. Beyond clinical utility, prostheses for the stimulation of the optic nerve, the visual thalamus or the visual cortex could also serve ...

2020

System for selective spatiotemporal stimulation of the spinal cord

Silvestro Micera, Grégoire Courtine, Nikolaus Wenger, Marco Capogrosso, Jocelyne Bloch

The present disclosure refers to systems for electrical neurostimulation of a spinal cord of a subject in need of nervous system function support. In one example, a system comprises a signal processing device configured to receive signals from the subject ...

2019

Spatio-temporal structure of single neuron subthalamic activity identifies DBS target for anesthetized Tourette syndrome patients

Silvestro Micera, Matteo Vissani

Objective. Deep brain stimulation (DBS) of basal ganglia effectively tackles motor symptoms of movement disorders such as Tourette syndrome (TS). The precise location of target stimulation site determines the range of clinical outcome in DBS patients, and ...

IOP PUBLISHING LTD2019

Intraneural sensory feedback restores grip force control and motor coordination while using a prosthetic hand

Silvestro Micera, Francesco Maria Petrini, Ivo Strauss, Giacomo Valle, Francesco Iberite

Objective. Tactile afferents in the human hand provide fundamental information about hand-environment interactions, which is used by the brain to adapt the motor output to the physical properties of the object being manipulated. A hand amputation disrupts ...

2019

Decoding Neural Metabolic Markers From the Carotid Sinus Nerve in a Type 2 Diabetes Model

Silvestro Micera

Recent studies showed that the carotid sinus nerve (CSN) and the sympathetic nervous system (SNS) are overactivated in type 2 diabetes and that restoring the correct CSN neural activity can re-establish the proper metabolism. However, a robust characteriza ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Design and Validation of a Modular One-To-Many Actuator for a Soft Wearable Exosuit

Silvestro Micera, Michele Xiloyannis

The size, weight, and power consumption of soft wearable robots rapidly scale with their number of active degrees of freedom. While various underactuation strategies have been proposed, most of them impose hard constrains on the kinetics and kinematics of ...

2019

Pre-Impact Detection Algorithm to Identify Tripping Events Using Wearable Sensors

Silvestro Micera

This study aimed to investigate the performance of an updated version of our pre-impact detection algorithm parsing out the output of a set of Inertial Measurement Units (IMUs) placed on lower limbs and designed to recognize signs of lack of balance due to ...

2019

Ultraviolet Functionalization of Electrospun Scaffolds to Activate Fibrous Runways for Targeting Cell Adhesion

Silvestro Micera

A critical challenge in scaffold design for tissue engineering is recapitulating the complex biochemical patterns that regulate cell behavior in vivo. In this work, we report the adaptation of a standard sterilization methodology-UV irradiation-for pattern ...

2019

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