A Survey on Signal Processing Methods for EEG-based Brain Computer Interface Systems

Author:

Trigka Maria1ORCID,Dritsas Elias1ORCID,Fidas Christos1ORCID

Affiliation:

1. Electrical and Computer Engineering Department, Polytechnic School, University of Patras, Greece

Funder

This work has been financially supported by the Hellenic Foundation for Research & Innovation (HFRI) under the 2nd Call for proposals for H.F.R.I. Research Projects to Support Faculty Members & Researchers, under the project entitled Electroencephalography and Eye Gaze driven Framework for Intelligent and Real-Time Human Cognitive Modelling (CogniX).

Publisher

ACM

Reference46 articles.

1. Amr Abdeltawab and Anita Ahmad . 2020 . Classification of Motor Imagery EEG Signals Using Machine Learning. In 2020 IEEE 10th International Conference on System Engineering and Technology (ICSET). IEEE, 196–201 . Amr Abdeltawab and Anita Ahmad. 2020. Classification of Motor Imagery EEG Signals Using Machine Learning. In 2020 IEEE 10th International Conference on System Engineering and Technology (ICSET). IEEE, 196–201.

2. Signal processing techniques for motor imagery brain computer interface: A review

3. Methods of EEG Signal Features Extraction Using Linear Analysis in Frequency and Time-Frequency Domains

4. Is EEG Suitable for Marketing Research? A Systematic Review

5. A survey on methods and challenges in EEG based authentication

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