Serafeim Perdikis

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

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

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

Brain-Machine Interfaces: Progress in Large Clinical Validation

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

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

A Hybrid BCI for Enhanced Control of a Telepresence Robot

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

Motor-disabled end users have successfully driven a telepresence robot in a complex environment using a Brain-Computer Interface (BCI). However, to facilitate the interaction aspect that underpins the notion of telepresence, users must be able to voluntari ...

2013

Toward online detection of BCI performance degradation

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

One of the problems of non-invasive BCI applications is the noise and change of EEG recordings that can result in performance degradation. Signal noise and changes can for instance be the result of electrode misplacements, impedances degradation or complet ...

2012

A supervised recalibration protocol for unbiased BCI

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

One important source of performance degradation in BCIs is bias towards one of the mental classes. Recent literature has focused on the general problem of classification accuracy drop, identifying non-stationarity as the generating factor, thus leading to ...

2011

Evidence Accumulation in asynchronous BCI

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Hamidreza Bayati

The non-invasive Brain-Computer Interface (BCI) developed in our lab targets asynchronous operation of devices by monitoring electroencephalographic (EEG) activity and identifying oscillatory patterns that the user can voluntary modulate through the execut ...

2011

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

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

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

The Role of Shared-Control in BCI-based Telepresence

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

This paper discusses and evaluates the role of shared control approach in a BCI-based telepresence framework. Driving a mobile device by using human brain signals might improve the quality of life of people suffering from severely physical disabilities. By ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

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