Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Luca Tonin"'
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/0c0ad404313c4f0eac494f3ca3db7627
Publikováno v:
Frontiers in Neurorobotics, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/5e424fce0f83462b9f01c13a42954737
Autor:
Stefano Tortora, Luca Tonin, Sebastian Sieghartsleitner, Rupert Ortner, Christoph Guger, Olive Lennon, Damien Coyle, Emanuele Menegatti, Alessandra Del Felice
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2988-3003 (2023)
Neurorehabilitation with robotic devices requires a paradigm shift to enhance human-robot interaction. The coupling of robot assisted gait training (RAGT) with a brain-machine interface (BMI) represents an important step in this direction but require
Externí odkaz:
https://doaj.org/article/4b1f3d4048314935bc1a1d85e6cc730c
Publikováno v:
Frontiers in Neuroergonomics, Vol 4 (2023)
Externí odkaz:
https://doaj.org/article/152f76e7600f475099566db5641dfc1c
Autor:
Stefano Tortora, Gloria Beraldo, Francesco Bettella, Emanuela Formaggio, Maria Rubega, Alessandra Del Felice, Stefano Masiero, Ruggero Carli, Nicola Petrone, Emanuele Menegatti, Luca Tonin
Publikováno v:
Journal of NeuroEngineering and Rehabilitation, Vol 19, Iss 1, Pp 1-19 (2022)
Abstract Background Brain-computer interfaces (BCIs) are systems capable of translating human brain patterns, measured through electroencephalography (EEG), into commands for an external device. Despite the great advances in machine learning solution
Externí odkaz:
https://doaj.org/article/ae120bb0f52547e6b40563b226ea1d91
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
The growing interest in neurorobotics has led to a proliferation of heterogeneous neurophysiological-based applications controlling a variety of robotic devices. Although recent years have seen great advances in this technology, the integration betwe
Externí odkaz:
https://doaj.org/article/01d77f864103486fbb3f068a073eb23c
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Externí odkaz:
https://doaj.org/article/9be62450e92143f680b0dc6c165350b2
Autor:
Stefano Tortora, Luca Tonin, Carmelo Chisari, Silvestro Micera, Emanuele Menegatti, Fiorenzo Artoni
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
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 int
Externí odkaz:
https://doaj.org/article/be598e7cf9824633b3ff8ad7fd6e234a
Autor:
Roberto Di Marco, Maria Rubega, Olive Lennon, Emanuela Formaggio, Ngadhnjim Sutaj, Giacomo Dazzi, Chiara Venturin, Ilenia Bonini, Rupert Ortner, Humberto Antonio Cerrel Bazo, Luca Tonin, Stefano Tortora, Stefano Masiero, Alessandra Del Felice, on behalf of the PRO GAIT Consortium
Publikováno v:
Methods and Protocols, Vol 4, Iss 3, p 48 (2021)
Exoskeleton gait rehabilitation is an emerging area of research, with potential applications in the elderly and in people with central nervous system lesions, e.g., stroke, traumatic brain/spinal cord injury. However, adaptability of such technologie
Externí odkaz:
https://doaj.org/article/4139d846af974f7ba616a40694e6f0ba
Publikováno v:
PLoS Biology, Vol 16, Iss 5, p e2003787 (2018)
This work aims at corroborating the importance and efficacy of mutual learning in motor imagery (MI) brain-computer interface (BCI) by leveraging the insights obtained through our participation in the BCI race of the Cybathlon event. We hypothesized
Externí odkaz:
https://doaj.org/article/ce4b5842182842eba3bbb424a2fa39d4