Emerging Computational Methods Applied to BCI Systems for Restoring Motor Functions

Andrès Felipe Ruiz-Olaya, Javier M. Antelis, Alexander Cerquera, Sebastián Jaramillo-Isaza

Producción científica: Capítulo en Libro/ReporteCapítulo


A brain-computer interface (BCI) is a system that records brain activity, processes it, and identifies commands that are delivered to external devices or applications to carry out the desired action of a user. BCI has the potential to restore the lost functions of disabled people, improving the users’ quality of life. EEG-based BCI systems use electroencephalographic (EEG) signals to identify the user’s intention, which requires applying multiple computational methods to process the EEG electrical activity. Currently, important limitations remain in using EEG signals for BCI applications, including the number of mental states that can be classified, the interference of other signals (artifacts) that contaminate the EEG, the percentage of effectiveness in generating commands, and the low rate of information transfer. Processing EEG signals include stages for trial/artifact rejection, epoching, filtering, feature extraction, and classification/regression. This chapter describes EEG signal processing pipelines used in the scientific literature and presents new approaches for EEG data analysis using emerging computational methods applied to BCI applications focused on restoring motor functions. Deep learning methods and multimodal signal fusion for BCI will be discussed.

Idioma originalInglés estadounidense
Título de la publicación alojadaComputational Approaches in Bioengineering
Subtítulo de la publicación alojadaVolume 2: Computational Approaches in Biomaterials and Biomedical Engineering Applications
EditorialCRC Press
Número de páginas21
ISBN (versión digital)9781040008812
ISBN (versión impresa)9781032635255
EstadoPublicada - ene. 1 2024
Publicado de forma externa

Áreas temáticas de ASJC Scopus

  • Ingeniería General
  • Bioquímica, Genética y Biología Molecular General
  • Ciencias Agrícolas y Biológicas General
  • Ciencias Ambientales General
  • Ciencia de la Computación General


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