Publications de Serafeim Perdikis

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis, Bastien Orset, Kyuhwa Lee

Mind-controlled wheelchairs are an intriguing assistive mobility solution applicable in complete paralysis. Despite progress in brain-machine interface (BMI) technology, its translation remains elusive. The primary objective of this study is to probe the h ...

Cell Press2022

Context-Aware Learning for Generative Models

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb

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 show that maximum- ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

José del Rocio Millán Ruiz, Serafeim Perdikis, Tiffany Corbet

Motor recovery following stroke is believed to necessitate alteration in functional connectivity between cortex and muscle. Cortico-muscular coherence has been proposed as a potential biomarker for post-stroke motor deficits, enabling a quantification of r ...

2019

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

Silvio Ionta, Serafeim Perdikis, Robert Leeb, Andrea Serino, Borja Rodriguez Herreros

SAGE PUBLICATIONS LTD2019

Peri-personal space encoding in patients with disorders of consciousness and cognitive-motor dissociation

José del Rocio Millán Ruiz, Serafeim Perdikis, Jean-Paul Noel, Andrea Serino, Maria Manuela da Silva Marques

Behavioral assessments of consciousness based on overt command following cannot differentiate patients with disorders of consciousness (DOC) from those who demonstrate a dissociation between intent/awareness and motor capacity: cognitive motor dissociation ...

2019

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

José del Rocio Millán Ruiz, Dragana Viceic, Hua Zhang, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Inaki Asier Iturrate Gil, Thomas Schmidlin, Tiffany Corbet

Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals into intended movements of the paralyzed limb. However, the efficacy and mechanisms of BCI-based therapies remain unclear. Here we show that BCI coupled to functio ...

Nature Research2018

Sensory threshold neuromuscular electrical stimulation fosters motor imagery performance

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Serafeim Perdikis, Inaki Asier Iturrate Gil, Tiffany Corbet

Motor imagery (MI) has been largely studied as a way to enhance motor learning and to restore motor functions. Although it is agreed that users should emphasize kinesthetic imagery during MI, recordings of MI brain patterns are not sufficiently reliable fo ...

2018

The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis, Sareh Saeedi, Christoph Schneider

This work aims at corroborating the importance and efficacy of mutual learning in motor imagery (MI) brain–computer interface (BCI) by leveraging the insights obtained through our participation in the BCI race of the Cybathlon event. We hypothesized that, ...

2018

Motor Attempt EEG Paradigm As a Diagnostic Tool for Disorders of Consciousness

José del Rocio Millán Ruiz, Serafeim Perdikis, Christoph Schneider

To investigate whether a motor attempt EEG paradigm coupled with functional electrical stimulation can detect command following and, therefore, signs of conscious awareness in patients with disorders of consciousness, we recorded nine patients admitted to ...

2018

mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation

José del Rocio Millán Ruiz, Serafeim Perdikis, Inaki Asier Iturrate Gil, Luca Randazzo

Hand sensorimotor impairments are among the most common consequences of injuries affecting the central and peripheral nervous systems, leading to a drastic reduction in the quality of life for affected individuals. Combining wearable robotic exoskeletons a ...

Ieee-Inst Electrical Electronics Engineers Inc2018

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

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis

Ieee-Inst Electrical Electronics Engineers Inc2017

EEG paradigms as a supplemental tool to behavioral assessments of DOC

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

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, Serafeim Perdikis, Robert Leeb

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, Serafeim Perdikis, Robert Leeb

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, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Huaijian Zhang, Tiffany Corbet

2016

Quantifying electrode reliability during Brain-Computer Interface operation

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

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, Michele Tavella, Serafeim Perdikis, Robert Leeb

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, Serafeim Perdikis, Robert Leeb

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, Alberto Molina Arribere, Luca Tonin, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Marco Creatura, Tom Edward Carlson

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