Literature DB >> 17409472

A review of classification algorithms for EEG-based brain-computer interfaces.

F Lotte1, M Congedo, A Lécuyer, F Lamarche, B Arnaldi.   

Abstract

In this paper we review classification algorithms used to design brain-computer interface (BCI) systems based on electroencephalography (EEG). We briefly present the commonly employed algorithms and describe their critical properties. Based on the literature, we compare them in terms of performance and provide guidelines to choose the suitable classification algorithm(s) for a specific BCI.

Mesh：

Year:  2007        PMID： 17409472     DOI： 10.1088/1741-2560/4/2/R01

Source DB:  PubMed          Journal:  J Neural Eng        ISSN： 1741-2552            Impact factor:   5.379


  252 in total

1.  Classification of multichannel EEG patterns using parallel hidden Markov models.

Authors:  Dror Lederman; Joseph Tabrikian
Journal:  Med Biol Eng Comput       Date:  2012-03-10       Impact factor: 2.602

Review 2.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

3.  A quantitative EEG method for detecting post clamp changes during carotid endarterectomy.

Authors:  Meenakshi Mishra; Muhammed Banday; Reza Derakhshani; John Croom; Paul J Camarata
Journal:  J Clin Monit Comput       Date:  2011-09-30       Impact factor: 2.502

4.  Learning Invariant Representations from EEG via Adversarial Inference.

Authors:  Ozan Özdenizci; Y E Wang; Toshiaki Koike-Akino; Deniz ErdoĞmuŞ
Journal:  IEEE Access       Date:  2020-02-04       Impact factor: 3.367

5.  An automatic method for arterial pulse waveform recognition using KNN and SVM classifiers.

Authors:  Tânia Pereira; Joana S Paiva; Carlos Correia; João Cardoso
Journal:  Med Biol Eng Comput       Date:  2015-09-24       Impact factor: 2.602

6.  Passive BCI based on drowsiness detection: an fNIRS study.

Authors:  M Jawad Khan; Keum-Shik Hong
Journal:  Biomed Opt Express       Date:  2015-09-22       Impact factor: 3.732

7.  Development of a Wearable Motor-Imagery-Based Brain-Computer Interface.

Authors:  Bor-Shing Lin; Jeng-Shyang Pan; Tso-Yao Chu; Bor-Shyh Lin
Journal:  J Med Syst       Date:  2016-01-09       Impact factor: 4.460

8.  Enhancing training performance for brain-computer interface with object-directed 3D visual guidance.

Authors:  Shuang Liang; Kup-Sze Choi; Jing Qin; Wai-Man Pang; Pheng-Ann Heng
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-01-02       Impact factor: 2.924

9.  Connection between polymorphisms in HTR2A, TPH2, BDNF, TOMM40 genes and the successful mastering of human-computer interfaces.

Authors:  Yaroslav A Turovsky; Artem P Gureev; Inna Yu Vitkalova; Vasily N Popov
Journal:  J Genet       Date:  2019-11       Impact factor: 1.166

10.  Hidden Markov model and support vector machine based decoding of finger movements using electrocorticography.

Authors:  Tobias Wissel; Tim Pfeiffer; Robert Frysch; Robert T Knight; Edward F Chang; Hermann Hinrichs; Jochem W Rieger; Georg Rose
Journal:  J Neural Eng       Date:  2013-09-18       Impact factor: 5.379
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