Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification-Reference-Cited by-同舟云学术

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Improved motor imagery brain-computer interface performance via adaptive modulation filtering and two-stage classification

Published:2020-03 Issue: Volume:57 Page:101812
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

dos Santos Eliana M.,Cassani Raymundo,Falk Tiago H.^ORCID,Fraga Francisco J.^ORCID

Funder

São Paulo Research Foundation

Brazilian Government

National Council for the Improvement of Higher Education

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference29 articles.

1. Brain computer interfaces;Brandman,2016

2. Sensorimotor rhythm-based brain – computer regression improves performance;Mcfarland;Neural Syst. Rehabil. Eng. IEEE Trans.,2005

3. Decoding intended movement from human EEG in the posterior parietal cortex;Wang;Neuroimage,2009

4. A review of classification algorithms for EEG-based brain-computer interfaces;Lotte;J. Neural Eng.,2007

5. Spectrotemporal modeling of biomedical signals: theoretical foundation and applications;Cassani;Encycl. Biomed. Eng.,2018

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3. Kernel-Based Regularized EEGNet Using Centered Alignment and Gaussian Connectivity for Motor Imagery Discrimination;Computers;2023-07-21

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