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Related publications (31)

Neuroprosthetic Technologies to Evaluate and Train Leg Motor Control in Neurologically Impaired Individuals

Camille Georgette Marie Le Goff-Mignardot

Spinal cord injury (SCI) disrupts many essential sensorimotor and autonomic functions. Consequently, individuals with SCI can face decades with permanent disabilities. Advances in clinical management have decreased morbidity, but no clinical trial has yet ...

EPFL2019

Collecter ou normaliser la technique ? Le Conservatoire des arts et métiers et les brevets d’invention

Jérôme Baudry

Le Conservatoire des arts et métiers est fondé en 1794, trois ans après la loi qui crée les brevets d’invention. Cet article retrace les liens entre la nouvelle institution et les brbevets, en insistant sur l’entreprise de publication des brevets expirés d ...

2019

Music processing in preterm and full-term newborns: A psychophysiological interaction (PPI) approach in neonatal fMRI

Dimitri Nestor Alice Van De Ville, Serafeim Loukas, François Lazeyras

Neonatal Intensive Care Units (NICU) provide special equipment designed to give life support for the increasing number of prematurely born infants and assure their survival. More recently NICU's strive to include developmentally oriented care and modulate ...

2019

Long-term verbal memory deficit and associated hippocampal alterations in 22q11.2 deletion syndrome

Maude Schneider, Daniela Maria Zöller

Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a genetic disease associated with an increased risk for schizophrenia and a specific cognitive profile. In this paper, we challenge the current view of spared verbal memory in 22q11.2DS by investigating v ...

2020

mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation

José del Rocio Millán Ruiz, Luca Randazzo, Inaki Asier Iturrate Gil, Serafeim Perdikis

Hand sensorimotor impairments are among the most common consequences of injuries affecting the central and peripheral nervous systems, leading to a drastic reduction in the quality of life for affected individuals. Combining wearable robotic exoskeletons a ...

Ieee-Inst Electrical Electronics Engineers Inc2018

Statistical Learning Impairments as a Consequence of Stroke

Albulena Jashari-Shaqiri

Statistical learning is the implicit learning of the contingencies between sequential stimuli, typically from mere exposure. It is present from infancy onward, and plays a role in functions from language learning to selective attention. Despite these obser ...

2018

Non-invasive brain stimulation to enhance cognitive rehabilitation after stroke

Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Laurijn Rianne Draaisma

Stroke is a main cause for long-term disability. Stroke symptoms cover various domains, e.g., motor, sensory, language, or other cognitive functions. In clinical practice and rehabilitation research, especially motor impairment attracts much attention. How ...

2020

Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots

Luca Tonin, Andrea Cimolato

This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain signals might improve ...

IEEE COMPUTER SOC2018

Hybrid peripheral-spinal neuroprosthesis for refined motor execution after paralysis

Sophie Marie Marthe Wurth

Spinal cord injury (SCI) disrupts the communication between the brain and the spinal circuits responsible for movement, thereby causing severe motor deficits. Current strategies to restore function to paralyzed limbs have separately investigated electrical ...

EPFL2018

Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis

José del Rocio Millán Ruiz, Gangadhar Garipelli

Brain‐computer interfaces (BCIs) can provide sensory feedback of ongoing brain oscillations, enabling stroke survivors to modulate their sensorimotor rhythms purposefully. A number of recent clinical studies indicate that repeated use of such BCIs might tr ...

2018

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Volkan Cevher, Cosimo Aprile, Yusuf Leblebici, Luca Baldassarre

A power and area effcient hardware encoding system tailored for wireless implantable applications is presented. Constant medical monitoring allowed by implantable devices is the most relevant alternative to current bulky monitoring systems, which, in case ...

2018

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