EEG-based BCI control schemes for lower-limb assistive-robots

M Tariq, PM Trivailo, M Simic - Frontiers in human neuroscience, 2018 - frontiersin.org
Over recent years, brain-computer interface (BCI) has emerged as an alternative
communication system between the human brain and an output device. Deciphered intents …

Emerging materials and technologies with applications in flexible neural implants: a comprehensive review of current issues with neural devices

Y Cho, S Park, J Lee, KJ Yu - Advanced Materials, 2021 - Wiley Online Library
Neuroscience is an essential field of investigation that reveals the identity of human beings,
with a comprehensive understanding of advanced mental activities, through the study of …

[HTML][HTML] Innovative technologies in the neurorehabilitation of traumatic brain injury: a systematic review

M Bonanno, R De Luca, AM De Nunzio, A Quartarone… - Brain sciences, 2022 - mdpi.com
Motor and cognitive rehabilitation in individuals with traumatic brain injury (TBI) is a growing
field of clinical and research interest. In fact, novel rehabilitative approaches allow a very …

[HTML][HTML] Perspectives and challenges in robotic neurorehabilitation

R Iandolo, F Marini, M Semprini, M Laffranchi… - Applied Sciences, 2019 - mdpi.com
The development of robotic devices for rehabilitation is a fast-growing field. Nowadays,
thanks to novel technologies that have improved robots' capabilities and offered more cost …

Virtual reality in neurorehabilitation: a review of its effects on multiple cognitive domains

G Riva, V Mancuso, S Cavedoni… - Expert review of …, 2020 - Taylor & Francis
Introduction Neurological diseases frequently cause adult-onset disability and have
increased the demand for rehabilitative interventions. Neurorehabilitation has been …

A review on interaction control for contact robots through intent detection

Y Li, A Sena, Z Wang, X **ng, J Babič… - Progress in …, 2022 - iopscience.iop.org
Interaction control presents opportunities for contact robots physically interacting with their
human user, such as assistance targeted to each human user, communication of goals to …

[HTML][HTML] Neuromorphic-based neuroprostheses for brain rewiring: state-of-the-art and perspectives in neuroengineering

M Chiappalone, VR Cota, M Carè, M Di Florio… - Brain sciences, 2022 - mdpi.com
Neuroprostheses are neuroengineering devices that have an interface with the nervous
system and supplement or substitute functionality in people with disabilities. In the collective …

BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network

R Beaubois, J Cheslet, T Duenki, G De Venuto… - Nature …, 2024 - nature.com
Abstract Characterization and modeling of biological neural networks has emerged as a
field driving significant advancements in our understanding of brain function and related …

Emerging technologies for management of patients with amyotrophic lateral sclerosis: from telehealth to assistive robotics and neural interfaces

R Pugliese, R Sala, S Regondi, B Beltrami… - Journal of Neurology, 2022 - Springer
Amyotrophic lateral sclerosis (ALS), also known as motor neuron disease, is characterized
by the degeneration of both upper and lower motor neurons, which leads to muscle …

Plasticity and adaptation in neuromorphic biohybrid systems

R George, M Chiappalone, M Giugliano, T Levi… - Iscience, 2020 - cell.com
Neuromorphic systems take inspiration from the principles of biological information
processing to form hardware platforms that enable the large-scale implementation of neural …