A Brain Computer Interface (BCI) is a system that provides direct communication pathways between the brain and an external device. These interfaces are a communication alternative, particularly interesting for people with severe motor disabilities. A BCI can be based on different physiological phenomena and it is highly dependent on brain activity signals, classification and feature extraction methods used to predict the user’s intention. The use of this technology in concrete real-world applications still presents several challenges that have hindered its effective implementation. In this line of research, the most recent paradigms are explored and new algorithms are developed to improve the performance and usability of BCIs.
Medical and Biological Engineering and Computing – 2018
Technical Report , Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional, sinc(i) (UNL-CONICET), Instituto de Matemática Aplicada del Litoral, IMAL (UNL-CONICET) – 2017
V Congreso de Matemática Aplicada, Computacional e Industrial – may 2015
Anales del VI Congreso Latinoamericano de Ingeniería Biomédica (CLAIB 2014), page 165 – oct 2014
Memorias del XVIII Congreso Argentino de Bioingeniería (SABI 2011) – set 2011
Proc. of the 32nd Annual International IEEE EMBS Conference, page 1711 – 2010
Memorias del XVII Congreso Argentino de Bioingenieria (SABI 2009), Number 146, page 51–55 – 2009