Publication

Electromyographic indices of muscle fatigue of a severely paralyzed chronic stroke patient undergoing upper limb motor rehabilitation

Publications associées (34)

Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment

Friedhelm Christoph Hummel, Pablo Maceira Elvira, Traian Popa, Anne-Christine Schmid

Stroke is one of the main causes of long-term disability worldwide, placing a large burden on individuals and society. Rehabilitation after stroke consists of an iterative process involving assessments and specialized training, aspects often constrained by ...
2019

Dynamic Information Flow Based on EEG and Diffusion MRI in Stroke: A Proof-of-Principle Study

Pablo Maceira Elvira

In hemiparetic stroke, functional recovery of paretic limb may occur with the reorganization of neural networks in the brain. Neuroimaging techniques, such as magnetic resonance imaging (MRI), have a high spatial resolution which can be used to reveal anat ...
2018

A Multifaceted Approach to Covert Attention Brain-Computer Interfaces

Christoph Schneider

Over the last years, brain-computer interfaces (BCIs) have shown their value for assistive technology and neurorehabilitation. Recently, a BCI-approach for the rehabilitation of hemispatial neglect has been proposed on the basis of covert visuospatial atte ...
EPFL2018

Neuroprosthetics to support impaired hand functions: A multidisciplinary approach combining brain-machine interfaces and wearable exoskeletons

Luca Randazzo

Neuroprosthetics, the discipline that aims at interfacing neural systems to artificially engineered devices, has witnessed in recent years important advancements towards the ultimate goal of augmenting and restoring human functions through technology and a ...
EPFL2018

EEG paradigms as a supplemental tool to behavioral assessments of DOC

José del Rocio Millán Ruiz, Andrea Serino, Serafeim Perdikis, Jean-Paul Noel

Introduction Diagnosis and prediction of recovery in the acute phase of disorders of consciousness (DOC) are critical for subsequent medical decisions. However, reliable assessment remains elusive due to the inability of current validated clinical scales t ...
2017

Delta Power Is Higher and More Symmetrical in Ischemic Stroke Patients with Cortical Involvement

Silvestro Micera, Fiorenzo Artoni

A brain injury resulting from unilateral stroke critically alters brain functionality and the complex balance within the cortical activity. Such modifications may critically depend on lesion location and cortical involvement. Indeed, recent findings pointe ...
Frontiers Media Sa2017

Robot-assisted gait training improves motor performances and modifies Motor Unit firing in post-stroke patients

Silvestro Micera

Background. Robotics and related technologies are realizing their promise to improve the delivery of rehabilitation therapy but the mechanism by which they enhance recovery is still unknown. The electromechanical-driven gait orthosis Lokomat has demonstrat ...
Edizioni Minerva Medica2015

Modulation of the inter-hemispheric asymmetry of motor-related brain activity using brain-computer interfaces

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Aleksander Sobolewski

Non-invasive brain stimulation has shown promis- ing results in neurorehabilitation for motor-impaired stroke patients, by rebalancing the relative involvement of each hemisphere in movement generation. Similarly, brain-computer interfaces have been used t ...
2015

Physical activity monitoring based on wearable technology combining inertial and barometric pressure sensors

Fabien Massé

Stroke, or cerebral-vascular accident is the leading cause of disabilities in the western world. It primarily affects mobility due to a degradation of principal motor functions such as balance and gait. This reduction of mobility directly impacts the spect ...
EPFL2015

Single trial prediction of self-paced reaching directions from EEG signals

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Eileen Lew Yi Lee

Early detection of movement intention could possibly minimize the delays in the activation of neuroprosthetic devices. As yet, single trial analysis using non-invasive approaches for understanding such movement preparation remains a challenging task. We st ...
Frontiers Research Foundation2014

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