シャ　キンカ   Jinhua She   佘　錦華    所属   工学部 機械工学科    職種   教授
言語種別	英語
発行・発表の年月	2015/01
形態種別	学術論文
査読	査読あり
標題	Removal of EOG and EMG artifacts from EEG using combination of functional link neural network and adaptive neural fuzzy inference system
執筆形態	共著
掲載誌名	Neurocomputing
出版社・発行元	Elsevier
巻・号・頁	151(1),pp.278-287
担当範囲	All
著者・共著者	Jing Hu, Chun-sheng Wang, Min Wu, Yu-xiao Du, Yong He, and Jinhua She
概要	A new way of removing electrooculogram (EOG) and electromyogram (EMG) artifacts from an electroencephalogram (EEG) was developed that involves combining an adaptive neural fuzzy inference system (ANFIS) and a functional link neural network (FLNN) to construct a filter. The ANFIS is divided into a nonlinear antecedent part and a linear consequent part; and the consequent part is replaced with the FLNN to enhance the nonlinear approximation ability of the method. An adaptive filtering algorithm adjusts the parameters of the fuzzy inference and neural network. Verification of the method showed that it was effective in removing EOG and EMG artifacts from an EEG. A comparison showed that this method provided better performance than an ANFIS, an RBF-ANFIS, or an adaptive FL-BPNN.
DOI	http://dx.doi.org/10.1016/j.neucom.2014.09.040
論文（査読付）ファイル	DOWNLOAD