BIREHAB
Increasing the robustness and neural integration of bidirectional prostheses for rehabilitation with robust and real time Independent Component Analysis
Total Cost €
0EC-Contrib. €
0Partnership
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Project "BIREHAB" data sheet
The following table provides information about the project.
| Coordinator |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address contact info |
| Coordinator Country | Switzerland [CH] |
| Project website | https://www.birehab.ch/ |
| 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 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE | CH (LAUSANNE) | coordinator | 175˙419.00 |
Map
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.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 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: |
2019-10-01 | |
| 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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