Simple and efficient methods for steady state visual evoked potential detection in BCI embedded system

Mora, N.; Bianchi, V.; De Munari, I.; Ciampolini, P.

doi:10.1109/ICASSP.2014.6853958

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Brain Computer Interfaces (BCI) can provide severely impaired users with alternative communication paths, by means of interpretation of the user's brain activity. Among BCI operating paradigms, SSVEP is largely exploited for its potentially high throughput and reliability. In this paper, two novel SSVEP processing algorithms are presented, focused on calibration-free operation and computational efficiency, targeted for development of BCI embedded modules. A comparison with other popular SSVEP signal processing algorithm (MEC, AMCC, CCA) is also made; results demonstrate the feasibility and effectiveness of the proposed solutions

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2767529

Titolo:	Simple and efficient methods for steady state visual evoked potential detection in BCI embedded system
Autori interni:	BIANCHI, Valentina DE MUNARI, Ilaria MORA, Niccolo' CIAMPOLINI, Paolo
Data di pubblicazione:	2014
Serie:	PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Abstract:	Brain Computer Interfaces (BCI) can provide severely impaired users with alternative communication paths, by means of interpretation of the user's brain activity. Among BCI operating paradigms, SSVEP is largely exploited for its potentially high throughput and reliability. In this paper, two novel SSVEP processing algorithms are presented, focused on calibration-free operation and computational efficiency, targeted for development of BCI embedded modules. A comparison with other popular SSVEP signal processing algorithm (MEC, AMCC, CCA) is also made; results demonstrate the feasibility and effectiveness of the proposed solutions
Handle:	http://hdl.handle.net/11381/2767529
Appare nelle tipologie:	4.1b Atto convegno Volume

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