Methods for brain–computer interfacing

Institute of Physics eBooks 2026 Book chapter

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Authors: Athanasios Vourvopoulos, Kyriaki Kostoglou, Marie‐Constance Corsi, Sylvain Chevallier, Manuel Eder, Matteo Mattersberger, Michal Robert Žák, Moritz Grosse‐Wentrup, Fabien Lotte, Ian P. Daly, Théodore Papadopoulo
DOI: 10.1088/978-0-7503-5914-6ch4
Cited by: 0

Abstract

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, offering practical examples and comparative insights to guide both beginners and advanced researchers in neural decoding.

Fields of Study & Subjects

EEG and Brain-Computer Interfaces Emotion and Mood Recognition Gaze Tracking and Assistive Technology

Publication details

Journal / source
Institute of Physics eBooks
Pages
4–1
Publication date
1 January 2026
Language
EN
Document type
Book chapter