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Increasing the robustness and neural integration of bidirectional prostheses for rehabilitation with robust and real time Independent Component Analysis

Total Cost €


EC-Contrib. €






 BIREHAB project word cloud

Explore the words cloud of the BIREHAB project. It provides you a very rough idea of what is the project "BIREHAB" about.

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Project "BIREHAB" data sheet

The following table provides information about the project.


Organization address
address: BATIMENT CE 3316 STATION 1
postcode: 1015

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Project website
 Total cost 175˙419 €
 EC max contribution 175˙419 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2019-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Hand loss is a highly disabling event that markedly affects the quality of life. To achieve a close to natural replacement for the lost hand, the user should be provided with the rich sensations that are naturally perceive when grasping or manipulating an object. Ideal bidirectional hand prostheses should involve both a reliable decoding of the user’s intentions and the delivery of nearly “natural” sensory feedback through remnant afferent pathways, simultaneously and in real time. As such, much effort in the last decade has been directed towards the achievement of both the robust performance necessary for natural prosthesis control and the sensory feedback integration. Despite this however, researchers have struggled so far to translate their findings to clinical and commercial applications, as it is necessary first to develop robust multifunctional myoelectric control algorithms and to characterize the neurophysiological responses elicited by artificial sensory feedback. The first aim of BIREHAB is to characterize the cortical activity evoked by neuromorphic electrical stimulations of the median and ulnar nerve in amputees and compare it with healthy subjects’s undergoing the same protocl. The second aim is to develop a new blind source separation algorithm (Independent Component Analysis) for the robust extraction of muscle synergies and Motor Unit Action Potentials from high density surface electromyogram. ICA will also be useful to overcome the current issues that impair the efficacy of myoelectric prostheses control, such as electrodes cross talk and volume conduction. The implementation of BIREHAB has the potential to aid in the personalization of post-stroke rehabilitation protocols, and to improve the long term efficacy, quality and neural integration of hand prostheses. These results may enable, in the near future, near-natural replacement of missing hands and will help devise new upper limb rehabilitation strategies.


year authors and title journal last update
List of publications.
2019 Fiorenzo Artoni, Arnaud Delorme, Scott Makeig
A visual working memory dataset collection with bootstrap Independent Component Analysis for comparison of electroencephalographic preprocessing pipelines
published pages: 787-793, ISSN: 2352-3409, DOI: 10.1016/j.dib.2018.12.022
Data in Brief 22 2019-10-01
2018 Paulina Kieliba, Peppino Tropea, Elvira Pirondini, Martina Coscia, Silvestro Micera, Fiorenzo Artoni
How are Muscle Synergies Affected by Electromyography Pre-Processing?
published pages: 882-893, ISSN: 1534-4320, DOI: 10.1109/tnsre.2018.2810859
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26/4 2019-10-01
2018 Fiorenzo Artoni, Arnaud Delorme, Scott Makeig
Applying dimension reduction to EEG data by Principal Component Analysis reduces the quality of its subsequent Independent Component decomposition
published pages: 176-187, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2018.03.016
NeuroImage 175 2019-10-01
2018 Fiorenzo Artoni, Annalisa Barsotti, Eleonora Guanziroli, Silvestro Micera, Alberto Landi, Franco Molteni
Effective Synchronization of EEG and EMG for Mobile Brain/Body Imaging in Clinical Settings
published pages: , ISSN: 1662-5161, DOI: 10.3389/fnhum.2017.00652
Frontiers in Human Neuroscience 11 2019-10-01
2018 C. Genna, C. Oddo, C. Fanciullacci, C. Chisari, S. Micera, F. Artoni
Bilateral cortical representation of tactile roughness
published pages: 79-88, ISSN: 0006-8993, DOI: 10.1016/j.brainres.2018.06.014
Brain Research 1699 2019-10-01
2017 Chiara Fanciullacci, Federica Bertolucci, Giuseppe Lamola, Alessandro Panarese, Fiorenzo Artoni, Silvestro Micera, Bruno Rossi, Carmelo Chisari
Delta Power Is Higher and More Symmetrical in Ischemic Stroke Patients with Cortical Involvement
published pages: , ISSN: 1662-5161, DOI: 10.3389/fnhum.2017.00385
Frontiers in Human Neuroscience 11 2019-10-01
2019 Fiorenzo Artoni, Piergiorgio d’Orio, Eleonora Catricalà, Francesca Conca, Franco Bottoni, Veronica Pelliccia, Ivana Sartori, Giorgio Lo Russo, Stefano F. Cappa, Silvestro Micera, Andrea Moro
Electrophysiological correlates of syntactic structures
published pages: , ISSN: , DOI:
2018 Jenifer Miehlbradt, Alexandre Cherpillod, Stefano Mintchev, Martina Coscia, Fiorenzo Artoni, Dario Floreano, Silvestro Micera
Data-driven body–machine interface for the accurate control of drones
published pages: 7913-7918, ISSN: 0027-8424, DOI: 10.1073/pnas.1718648115
Proceedings of the National Academy of Sciences 115/31 2019-10-01
2017 Edoardo D’Anna, Francesco M. Petrini, Fiorenzo Artoni, Igor Popovic, Igor Simanić, Stanisa Raspopovic, Silvestro Micera
A somatotopic bidirectional hand prosthesis with transcutaneous electrical nerve stimulation based sensory feedback
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-11306-w
Scientific Reports 7/1 2019-10-01

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