Robert Leeb

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First steps towards adaptive deep brain stimulation in Parkinson’s disease

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Jocelyne Bloch, Robert Leeb, Inaki Asier Iturrate Gil, Aleksander Sobolewski

2016

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

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Sareh Saeedi

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 estimator for an electroe ...

Institute of Electrical and Electronics Engineers2016

Context-aware adaptive spelling in motor imagery BCI

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Objective. This work presents a first motor imagery-based, adaptive brain–computer interface (BCI) speller, which is able to exploit application-derived context for improved, simultaneous classifier adaptation and spelling. Online spelling experiments with ...

Institute of Physics2016

Decoding of two hand grasping types from EEG

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil

2016

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

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Andrea Biasiucci, Huaijian Zhang, Tiffany Corbet

2016

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

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Sareh Saeedi

2016

Reliable BMI control using epidural ECoG by an hemiplegic user

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Jocelyne Bloch, Robert Leeb, Aleksander Sobolewski

2016

Detecting intention to grasp during reaching movements from EEG

José del Rocio Millán Ruiz, Luca Randazzo, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil

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 intentions into mo ...

2015

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

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Tom Edward Carlson

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 of brain signals a ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Towards non-invasive hybrid brain-computer interfaces: Framework, practice, clinical application and beyond

José del Rocio Millán Ruiz, Robert Leeb

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 BCI applications ...

Ieee-Inst Electrical Electronics Engineers Inc2015

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