Serafeim Perdikis

This person is no longer with EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (28)

Brain Racers: How paralysed athletes used a Brain-Computer Interface to win gold at the cyborg olympics

José del Rocio Millán Ruiz, Serafeim Perdikis, Luca Tonin

Ieee-Inst Electrical Electronics Engineers Inc2017

EEG paradigms as a supplemental tool to behavioral assessments of DOC

José del Rocio Millán Ruiz, Serafeim Perdikis, Andrea Serino, 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

The effect of multimodal and enriched feedback on SMR-BCI performance

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Objective: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel ( ...

Elsevier2016

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

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

Quantifying electrode reliability during Brain-Computer Interface operation

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Serafeim Perdikis, Hesam Sagha

One of the problems of non-invasive Brain-Computer Interface (BCI) applications is the occurrence of anomalous (unexpected) signals that might degrade BCI performance. This situation might slip the operator’s attention since raw signals are not usually con ...

Institute of Electrical and Electronics Engineers2015

Mutual learning and spelling in motor imagery brain-computer interfaces

Serafeim Perdikis

EPFL2014

Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Michele Tavella

Objective. While brain-computer interfaces (BCIs) for communication have reached considerable technical maturity, there is still a great need for state-of-the-art evaluation by end-users outside laboratory environments. To achieve this primary objective, i ...

Institute of Physics2014

Subject-oriented training for motor imagery brain-computer interfaces

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

Successful operation of motor imagery (MI)-based brain-computer interfaces (BCI) requires mutual adaptation between the human subject and the BCI. Traditional training methods, as well as more recent ones based on co-adaptation, have mainly focused on the ...

2014

Transferring BCI skills to successful application controls

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Luca Tonin, Tom Edward Carlson, Andrea Biasiucci, Alberto Molina Arribere, Marco Creatura

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 BCI control is nee ...

2013

Page 2 of 3