Enhanced Z-LDA for Small Sample Size Training in Brain-Computer Interface Systems

Background. Usually the training set of online brain-computer interface (BCI) experiment is small. For the small training set, it lacks enough information to deeply train the classifier, resulting in the poor classification performance during online testing. Methods. In this paper, on the basis of Z...

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Библиографические подробности
Опубликовано в: :Comput Math Methods Med
Главные авторы: Gao, Dongrui, Zhang, Rui, Liu, Tiejun, Li, Fali, Ma, Teng, Lv, Xulin, Li, Peiyang, Yao, Dezhong, Xu, Peng
Формат: Artigo
Язык:Inglês
Опубликовано: Hindawi Publishing Corporation 2015
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4621351/
https://ncbi.nlm.nih.gov/pubmed/26550023
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/680769
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