A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm : Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication
Joint Authors
Turconi, Anna C.
Maggi, Luca
Parini, Sergio
Andreoni, Giuseppe
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-04-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
In this paper, we present, with particular focus on the adopted processing and identification chain and protocol-related solutions, a whole self-paced brain-computer interface system based on a 4-class steady-state visual evoked potentials (SSVEPs) paradigm.
The proposed system incorporates an automated spatial filtering technique centred on the common spatial patterns (CSPs) method, an autoscaled and effective signal features extraction which is used for providing an unsupervised biofeedback, and a robust self-paced classifier based on the discriminant analysis theory.
The adopted operating protocol is structured in a screening, training, and testing phase aimed at collecting user-specific information regarding best stimulation frequencies, optimal sources identification, and overall system processing chain calibration in only a few minutes.
The system, validated on 11 healthy/pathologic subjects, has proven to be reliable in terms of achievable communication speed (up to 70 bit/min) and very robust to false positive identifications.
American Psychological Association (APA)
Parini, Sergio& Maggi, Luca& Turconi, Anna C.& Andreoni, Giuseppe. 2009. A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm : Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication. Computational Intelligence and Neuroscience،Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-504488
Modern Language Association (MLA)
Parini, Sergio…[et al.]. A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm : Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication. Computational Intelligence and Neuroscience No. 2009 (2009), pp.1-11.
https://search.emarefa.net/detail/BIM-504488
American Medical Association (AMA)
Parini, Sergio& Maggi, Luca& Turconi, Anna C.& Andreoni, Giuseppe. A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm : Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication. Computational Intelligence and Neuroscience. 2009. Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-504488
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504488