Explanipedia

A Stand-Alone Augmented Reality Intervention for Chronic Pain Using Embodied Systolic Stimulation Open

Oliver Alan Kannape, Jonathan Pierret, Robert Leeb, Sylvain Cardin, Fabien Bourban , et al. · 2023

Chronic pain presents a tremendous personal, societal, and financial burden. Treatment options are often limited to managing symptoms as opposed to treating the causes, and the consequences of pharmacological treatments can be immensely ha…

Context-Aware Learning for Generative Models Open

Serafeim Perdikis, Robert Leeb, Ricardo Chavarriaga, José del R. Millán · 2020

This work studies the class of algorithms for learning with side-information that emerges by extending generative models with embedded context-related variables. Using finite mixture models (FMMs) as the prototypical Bayesian network, we s…

Selective Enhancement of Motor Imagery Features Using Transcranial Direct Current Stimulation Open

Ricardo Chavarriaga, Andrea Biasiucci, Robert Leeb, Vanesa Soto León, Michela Campolo , et al. · 2020

Transcranial Direct Current Stimulation (tDCS) has been shown to selectively modulate cortical responses in memory, motor and perceptual tasks. Here we show that this type of stimulation results in targeted enhancement of brain patterns el…

Reliable BMI control using epidural ECoG by an hemiplegic user Open

Ricardo Chavarriaga, A. Sobolewski, Robert Leeb, Étienne Pralong, Jocelyne Bloch , et al. · 2020

BCI controlled neuromuscular electrical stimulation enables sustained motor recovery in chronic stroke victims Open

Robert Leeb, Andrea Biasiucci, Thomas W. Schmidlin, Tiffany Corbet, Philippe Vuadens , et al. · 2020

Adaptive assistance for BCI: a locked-in syndrome end-user case study Open

Sareh Saeedi, Ricardo Chavarriaga, Robert Leeb, José del R. Millán · 2020

Introduction: Performance variation is one of the main challenges that BCIs are confronted with, when being used over extended periods of time. Several methods have been proposed to find correlates of performance variation for sensorimotor…

Motor Recovery After Stroke by Means of BCI-Guided Functional Electrical Stimulation Open

Andrea Biasiucci, Robert Leeb, Abdul Al-Khodairy, Vanessa Buhlmann, José del R. Millán · 2020

Brain-Computer Interfaces (BCIs) provide a mean to access the damaged motor network of the brain after stroke, and could be used to drive and promote beneficial plasticity. Among the available therapeutic approaches, Functional Electrical …

Decoding of two hand grasping types from EEG Open

Iñaki Iturrate, Robert Leeb, Ricardo Chavarriaga, José del R. Millán · 2020

Introduction: Arm and hand movements are essential for performing activities of daily living (ADL). As a result, people with severe motor disabilities would greatly benefit from hand neuroprostheses for restoring grasping capabilities. Non…

Dual-Frequency Ssvep Stimulation Using A Stereoscopic Display Open

Leandra Webb, Jozef Legény, Robert Leeb, Anatole Lécuyer · 2020

International audience

BCI-NMES therapy enhances effective connectivity in the damaged hemisphere in stroke patients Open

Tiffany Corbet, Robert Leeb, Andrea Biasiucci, Huaijian Zhang, Serafeim Perdikis , et al. · 2020

Platform For Analyzing Multi-Tasking Capabilities During Bci Operation Open

Robert Leeb, Kiuk Gwak, Dae‐Shik Kim, José del R. Millán · 2020

Operating brain-actuated devices requires split attention between the interaction of the device with its environment and the Brain-Computer Interface (BCI) feedback. Recently we demonstrated that BCI feedback could be provided via tactile …

Transferring BCI Skills to Successful Application Controls Open

Robert Leeb, Tom Carlson, Serafeim Perdikis, Luca Tonin, Andrea Biasiucci , et al. · 2020

The goal of our research is to enable various end-users to control applications by using a brain-computer interface (BCI). Since applications–like telepresence robots, wheelchairs or text entry systems–are quite demanding a good level of B…

First steps towards adaptive deep brain stimulation in Parkinsons disease Open

Robert Leeb, A. Sobolewski, Iñaki Iturrate, Ricardo Chavarriaga, Iulia Peciu-Florianu , et al. · 2020

Neuromodulation of Temporal Dynamics in Online Visuomotor Control by Anodal HD-tDCS Over the Left Intraparietal Cortex Open

Borja Rodríguez‐Herreros, Serafeim Perdikis, Andrea Serino, Robert Leeb, Silvio Ionta · 2019

Beta-driven closed-loop deep brain stimulation can compromise human motor behavior in Parkinson’s Disease Open

Iñaki Iturrate, Stéphanie Martin, Ricardo Chavarriaga, Bastien Orset, Robert Leeb , et al. · 2019

Closed-loop or adaptive deep brain stimulation (DBS) for Parkinson’s Disease (PD) has shown comparable clinical improvements to continuous stimulation, yet with less stimulation times and side effects. In this form of control, stimulation …

Differential contributions of subthalamic beta rhythms and 1/f broadband activity to motor symptoms in Parkinson’s disease Open

Stéphanie Martin, Iñaki Iturrate, Ricardo Chavarriaga, Robert Leeb, A. Sobolewski , et al. · 2018

Human EEG reveals distinct neural correlates of power and precision grasping types Open

Iñaki Iturrate, Ricardo Chavarriaga, Michael Pereira, Huaijian Zhang, Tiffany Corbet , et al. · 2018

Differential contributions of subthalamic beta rhythms and neural noise to Parkinson motor symptoms Open

Stéphanie Martin, Iñaki Iturrate, Ricardo Chavarriaga, Robert Leeb, A. Sobolewski , et al. · 2018

Background Excessive beta oscillatory activity in the subthalamic nucleus (STN) is linked to Parkinson’s disease and associated motor symptoms. However, the relationship between beta activity and motor symptoms has been inconsistent, which…

Effects of data sample dependence on the evaluation of BCI performance Open

Serafeim Perdikis, Fabien Bourban, Vincent Rouanne, José del R. Millán, Robert Leeb · 2018

TiD—Introducing and Benchmarking an Event-Delivery System for Brain–Computer Interfaces Open

Christian Breitwieser, Michele Tavella, Martijn Schreuder, Febo Cincotti, Robert Leeb , et al. · 2017

In this paper, we present and analyze an event distribution system for brain-computer interfaces. Events are commonly used to mark and describe incidents during an experiment and are therefore critical for later data analysis or immediate …

Behavioral and Cortical Effects during Attention Driven Brain-Computer Interface Operations in Spatial Neglect: A Feasibility Case Study Open

Luca Tonin, Marco Pitteri, Robert Leeb, Huaijian Zhang, Emanuele Menegatti , et al. · 2017

During the last years, several studies have suggested that Brain-Computer Interface (BCI) can play a critical role in the field of motor rehabilitation. In this case report, we aim to investigate the feasibility of a covert visuospatial at…

Adaptive Assistance for Brain-Computer Interfaces by Online Prediction of Command Reliability Open

Sareh Saeedi, Ricardo Chavarriaga, Robert Leeb, José del R. Millán · 2016

One of the challenges of using brain-computer interfaces (BCIs) over extended periods of time is the variation of the users' performance across different experimental days. The goal of the current study is to propose a performance estimato…

10. Brain-Machine Symbiosis Open

Robert Leeb, Ricardo Chavarriaga, José del R. Millán · 2015

Imagine you want your computer or any computing device to perform an action.But before you have to get up and interact with it, the device is already doing it!Because directly from your intention, from your thoughts the control signal for …

Detecting intention to grasp during reaching movements from EEG Open

Luca Randazzo, Iñaki Iturrate, Ricardo Chavarriaga, Robert Leeb, José del R. Millán · 2015

Brain-computer interfaces (BCI) have been shown to be a promising tool in rehabilitation and assistive scenarios. Within these contexts, brain signals can be decoded and used as commands for a robotic device, allowing to translate user's i…

Context-aware learning for finite mixture models Open

Serafeim Perdikis, Robert Leeb, Ricardo Chavarriaga, José del R. Millán · 2015

This work introduces algorithms able to exploit contextual information in order to improve maximum-likelihood (ML) parameter estimation in finite mixture models (FMM), demonstrating their benefits and properties in several scenarios. The p…

Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond Open

Gernot Müller-Putz, Robert Leeb, Michael Tangermann, Johannes Höhne, Andrea Kübler , et al. · 2015

In their early days, BCIs were only considered as control channel for end users with severe motor impairments such as people in the locked-in state. But, thanks to the multidisciplinary progress achieved over the last decade, the range of …

Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities Open

Robert Leeb, Luca Tonin, Martin Rohm, Lorenzo Desideri, Tom Carlson , et al. · 2015

This paper presents an important step forward towards increasing the independence of people with severe motor disabilities, by using brain-computer interfaces (BCI) to harness the power of the Internet of Things. We analyze the stability o…

Intensive Upper Limb Neurorehabilitation with Virtual Reality in Chronic Stroke: A Case Report Open

Odile Chevalley, Thomas W. Schmidlin, Daniel Perez Marcos, Gangadhar Garipelli, Robert Leeb , et al. · 2015

Reference EPFL-CONF-210316 URL: http://www.asnr.com/i4a/pages/index.cfm?pageid=3716 Record created on 2015-07-29, modified on 2016-08-09

Moving Brain-Controlled Devices Outside the Lab: Principles and Applications Open

Robert Leeb, Ricardo Chavarriaga, Serafeim Perdikis, Iñaki Iturrate, José del R. Millán · 2015

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