Maladie chronique

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Publications associées (31)

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm *

David Atienza Alonso, Jean-Marc Vesin, Sasan Yazdani, Lara Orlandic, Adriana Arza Valdes, Elisabetta De Giovanni

Wearable devices are an unobtrusive, cost-effective means of continuous ambulatory monitoring of chronic cardiovascular diseases. However, on these resource-constrained systems, electrocardiogram (ECG) processing algorithms must consume minimal power and m ...

2019

Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke

José del Rocio Millán Ruiz, Silvestro Micera, Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Martina Coscia, John Donoghue

Upper limb motor deficits in severe stroke survivors often remain unresolved over extended time periods. Novel neurotechnologies have the potential to significantly support upper limb motor restoration in severely impaired stroke individuals. Here, we revi ...

2019

Combined Rehabilitation Promotes the Recovery of Structural and Functional Features of Healthy Neuronal Networks after Stroke

Silvestro Micera, Stefano Lai, Francesco Saverio Pavone

Rehabilitation is considered the most effective treatment for promoting the recovery of motor deficits after stroke. One of the most challenging experimental goals is to unambiguously link brain rewiring to motor improvement prompted by rehabilitative ther ...

2019

The functional role of beta‐oscillations in the supplementary motor area during reaching and grasping after stroke: A question of structural damage to the corticospinal tract

Friedhelm Christoph Hummel, Maximilian Jonas Wessel

Hand motor function is often severely affected in stroke patients. Non-satisfying recovery limits reintegration into normal daily life. Understanding stroke-related network changes and identifying common principles that might underlie recovered motor funct ...

Wiley2019

Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis

Jean-Philippe Thiran, Meritxell Bach Cuadra, Francesco La Rosa, Tobias Kober, Cristina Granziera, Jonas Richiardi, Mario Joao Fartaria de Oliveira

In this work, we present a comparison of a shallow and a deep learning architecture for the automated segmentation of white matter lesions in MR images of multiple sclerosis patients. In particular, we train and test both methods on early stage disease pat ...

Springer2018

Hardware / Software Architectural and Technological Exploration for Energy-Efficient and Reliable Biomedical Devices

Loris Gérard Duch

Nowadays, the ubiquity of smart appliances in our everyday lives is increasingly strengthening the links between humans and machines. Beyond making our lives easier and more convenient, smart devices are now playing an important role in personalized health ...

EPFL2018

Advancing immunotherapy for HPV-related cancers: Improving therapeutic vaccination approaches and understanding the immunosuppressive role of myeloid cells

Gabriele Galliverti

Human Papilloma Viruses (HPVs) are the most common sexually transmitted agents worldwide, and chronic infection with oncogenic HPVs can lead to the development of lesions in the cervix, the vulva, and the head and neck region. In some patients, these lesio ...

EPFL2018

Increasing upper limb training intensity in chronic stroke using embodied virtual reality: a pilot study

Olaf Blanke, José del Rocio Millán Ruiz, Andrea Serino, Gangadhar Garipelli, Thomas Schmidlin, Odile Hélène Chevalley

Background: Technology-mediated neurorehabilitation is suggested to enhance training intensity and therefore functional gains. Here, we used a novel virtual reality (VR) system for task-specific upper extremity training after stroke. The system offers inte ...

BioMed Central2017

Electrically Assisted Movement Therapy in Chronic Stroke Patients With Severe Upper Limb Paresis: A Pilot, Single-Blind, Randomized Crossover Study

José del Rocio Millán Ruiz, Andrea Biasiucci, Silvio Ionta, Andrea Maesani, Stephanie Clarke

Objective To evaluate the effects of electrically assisted movement therapy (EAMT) in which patients use functional electrical stimulation, modulated by a custom device controlled through the patient's unaffected hand, to produce or assist task-specific up ...

Elsevier2017

Genome-to-genome analysis highlights the effect of the human innate and adaptive immune systems on the hepatitis C virus

Jacques Fellay, Istvan Bartha, Nimisha Chaturvedi, David Smith

Outcomes of hepatitis C virus (HCV) infection and treatment depend on viral and host genetic factors. Here we use human genome-wide genotyping arrays and new whole-genome HCV viral sequencing technologies to perform a systematic genome-to-genome study of 5 ...

Nature Publishing Group2017

Quantifying dimensions of physical behavior in chronic pain conditions

Kamiar Aminian, Anisoara Ionescu

Background: Chronic pain, defined as persistent or recurrent pain lasting longer than 3 months, is a frequent condition affecting an important percent of population worldwide. Pain chronicity can be caused by many different factors and is a frequent compon ...

BioMed Central2016

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