Stefano Tortora

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Related publications (4)

Editorial: Hybrid brain-robot interfaces for enhancing mobility

Solaiman Shokur, Luca Tonin, Silvestro Micera, Fiorenzo Artoni, Stefano Tortora

FRONTIERS MEDIA SA2023

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

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

ROS-Neuro: A common middleware for BMI and robotics. The acquisition and recorder packages

José del Rocio Millán Ruiz, Luca Tonin, Stefano Tortora

Recent advances in the Brain-Machine Interface (BMI) and in the robotic fields allowed researchers to design a new generation of brain-actuated neuroprostheses to control a variety of assistive devices-ranging from powered wheelchairs to telepresence robot ...

IEEE2019

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