Publications de Andrea Biasiucci

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

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

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

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

Neuroprosthetic System Restoring Upper Limb Function Through Coordinated Electrical Stimulation

Andrea Maesani, Andrea Biasiucci

Neuroprosthetic device for restoring daily-life action movements of upper limbs in patients suffering from motor impairments. The neuroprosthetic device comprises several non-invasive electrodes adapted to be fixed on a patient body, in a way as to stimula ...

2016

Non-invasive drawable electrode for neuromuscular electrical stimulation and biological signal sensing

Stefano Silvio Giovanni Varricchio, Andrea Maesani, Andrea Biasiucci

Non-invasive "drawable", or "paintable", electrode for electrical stimulation or biological signal sensing comprising a pervious and electrically conductive layer (1), at least one electrically insulating element (2) for maintaining the electrically conduc ...

2016

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

José del Rocio Millán Ruiz, Robert Leeb, Andrea Biasiucci, Thomas Schmidlin, Tiffany Corbet

2016

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

Neurotechnology for Brain Repair : Imaging, Enhancing and Restoring Human Motor Function

Andrea Biasiucci

Neurotechnology is the application of scientific knowledge to the practical purpose of understanding, interacting and/or repairing the brain or, in a broader sense, the nervous system. The development of novel approaches to decode functional information fr ...

EPFL2014

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

Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users

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

OBJECTIVES: Brain-computer interfaces (BCIs) are no longer only used by healthy participants under controlled conditions in laboratory environments, but also by patients and end-users, controlling applications in their homes or clinics, without the BCI exp ...

Elsevier2013

Selective Enhancement of Motor Imagery Features Using Transcranial Direct Current Stimulation

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Andrea Biasiucci

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 elicited during mot ...

Graz University of Technology Publishing House2013

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

José del Rocio Millán Ruiz, Robert Leeb, Andrea Biasiucci

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 Stimulation (FES) ...

2013

Brain-Machine Interfaces: Progress in Large Clinical Validation

José del Rocio Millán Ruiz, Luca Tonin, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Tom Edward Carlson

Brain-machine interfaces (BMI) have largely been demonstrated in laboratory conditions involving, mainly, healthy users. We have recently carried out a series of studies with a substantial number of motor-disabled end-users operating different brain-contro ...

2013

Combining Discriminant and Topographic Information in BCI: Preliminary Results on Stroke Patients

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Andrea Biasiucci, Benjamin Hamner

Non–Invasive Brain–Computer Interfaces (BCI) convey a great potential in the field of stroke rehabilitation, where the continuous monitoring of mental tasks execution could support the positive effects of standard therapies. In this paper we combine time-f ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

EEG Microstates for BCI Therapist Feedback: Preliminary Results on a Stroke Patient

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hesam Sagha, Robert Leeb, Andrea Biasiucci

Brain-Computer Interfaces convey a great potential in the field of stroke rehabilitation, where the continuous monitoring of the execution of mental tasks could support the positive effects of the therapy by reinforcing specific mental patterns. We propose ...

2011

Are we ready? Issues in transferring BCI technology from experts to users

José del Rocio Millán Ruiz, Luca Tonin, Michele Tavella, Serafeim Perdikis, Robert Leeb, Andrea Biasiucci, Tom Edward Carlson

Brain-Computer Interfaces (BCIs) are no longer only used by healthy subjects under control conditions in laboratory environments, but by patients controlling applications at their homes, without the BCI experts around. But are the technology and the field ...

Verlag der Technischen Universitaet Graz2011

Adaptation of Hybrid Human-Computer Interaction Systems using EEG Error-Related Potentials

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Andrea Biasiucci

Performance improvement in both humans and artificial systems strongly relies in the ability of recognizing erroneous behavior or decisions. This paper, that builds upon previous studies on EEG error-related signals, presents a hybrid approach for human co ...

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, NJ 08855-1331 USA2010

On the use of brain decoded signals for online user adaptive gesture recognition systems

Daniel Roggen, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Andrea Biasiucci

Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characteristics, user expectations, or user motor patterns due to learning or aging. ...

2010