This chapter presents the methodological core of BCI data analysis, from pre-processing and artifact removal to feature extraction, classification, and inverse modeling. It reviews state-of-the-art signal processing and machine learning techniques, …
How do we characterize and analyze brain signals? This chapter highlights best practices for brain signal processing and analysis. The first part of this chapter describes the type of information that constitutes the brain signals recorded via …
In this chapter, we present the main characteristics of electroencephalography (EEG) and magnetoencephalography (MEG). More specifically, this chapter is dedicated to the presentation of the data, the way they can be acquired and analyzed. Then, we …