The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN.
Brain-computer interface (BCI)
Common spatial pattern (CSP)
Electroencephalography (EEG)
Ensemble learning
Motor imagery
Random forest
Journal
PeerJ. Computer science
ISSN: 2376-5992
Titre abrégé: PeerJ Comput Sci
Pays: United States
ID NLM: 101660598
Informations de publication
Date de publication:
2021
2021
Historique:
received:
21
10
2020
accepted:
06
01
2021
entrez:
5
4
2021
pubmed:
6
4
2021
medline:
6
4
2021
Statut:
epublish
Résumé
Brain-computer interface (BCI) is a viable alternative communication strategy for patients of neurological disorders as it facilitates the translation of human intent into device commands. The performance of BCIs primarily depends on the efficacy of the feature extraction and feature selection techniques, as well as the classification algorithms employed. More often than not, high dimensional feature set contains redundant features that may degrade a given classifier's performance. In the present investigation, an ensemble learning-based classification algorithm, namely random subspace
Identifiants
pubmed: 33817022
doi: 10.7717/peerj-cs.374
pii: cs-374
pmc: PMC7959631
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e374Informations de copyright
© 2021 Rashid et al.
Déclaration de conflit d'intérêts
The authors declare that they have no competing interests.
Références
J Neural Eng. 2018 Jun;15(3):031005
pubmed: 29488902
J Neural Eng. 2017 Feb;14(1):016003
pubmed: 27900952
Sensors (Basel). 2019 Dec 27;20(1):
pubmed: 31892135
Comput Methods Programs Biomed. 2020 Apr;187:105325
pubmed: 31964514
Sensors (Basel). 2019 Jan 29;19(3):
pubmed: 30699946
J Neurosci Methods. 2019 Nov 1;327:108346
pubmed: 31421162
Med Biol Eng Comput. 2019 Aug;57(8):1709-1725
pubmed: 31127535
IEEE Trans Neural Syst Rehabil Eng. 2017 Jun;25(6):566-576
pubmed: 27542114
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):153-9
pubmed: 16792282
Sensors (Basel). 2019 Mar 22;19(6):
pubmed: 30909489
Sensors (Basel). 2012;12(2):1211-79
pubmed: 22438708
Front Neurorobot. 2020 Jun 03;14:25
pubmed: 32581758
Disabil Rehabil Assist Technol. 2015;10(5):355-64
pubmed: 25560222
Comput Math Methods Med. 2018 Mar 18;2018:9871603
pubmed: 29743934
Brain Inform. 2020 Jun 16;7(1):7
pubmed: 32548772
Biomed Eng Online. 2018 Aug 2;17(1):103
pubmed: 30071853
J Neural Eng. 2019 Oct 16;16(6):066004
pubmed: 31341093
Sensors (Basel). 2016 Mar 05;16(3):
pubmed: 26959029
Sensors (Basel). 2019 Oct 18;19(20):
pubmed: 31635424
IEEE Trans Neural Syst Rehabil Eng. 2020 Oct;28(10):2153-2163
pubmed: 32870796
Physiol Meas. 2020 Aug 11;41(7):075007
pubmed: 32590360
BMC Bioinformatics. 2018 Sep 29;19(1):344
pubmed: 30268089
J Med Syst. 2012 Nov;36 Suppl 1:S51-63
pubmed: 23117792
Comput Intell Neurosci. 2019 Jan 21;2019:5627156
pubmed: 30804988
Neural Netw. 2019 Oct;118:262-270
pubmed: 31326660
Annu Int Conf IEEE Eng Med Biol Soc. 2018 Jul;2018:5081-5084
pubmed: 30441483
IEEE Trans Cybern. 2019 Sep;49(9):3322-3332
pubmed: 29994667
Brain Sci. 2019 Aug 14;9(8):
pubmed: 31416258
Int J Neural Syst. 2016 Sep;26(6):1650022
pubmed: 27255798
Sci Rep. 2019 Jun 24;9(1):9153
pubmed: 31235800
IEEE Trans Biomed Eng. 2004 Jun;51(6):993-1002
pubmed: 15188870
Clin Neurophysiol. 2002 Jun;113(6):767-91
pubmed: 12048038
J Neurosci Methods. 2018 Jul 15;305:28-35
pubmed: 29733940
IEEE Trans Rehabil Eng. 2000 Dec;8(4):441-6
pubmed: 11204034
Comput Intell Neurosci. 2018 Oct 28;2018:9593682
pubmed: 30510569
IEEE Trans Biomed Eng. 2006 Nov;53(11):2274-81
pubmed: 17073333
Front Hum Neurosci. 2018 Jan 31;12:14
pubmed: 29472849
Med Biol Eng Comput. 2019 Jan;57(1):147-157
pubmed: 30054779