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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/10432


    Title: Editorial message: Special issue on fuzzy brain–computer interface systems
    Authors: Liu, YH;Jung, TP;Lin, CT;Liao, LD
    Contributors: Institute of Biomedical Engineering and Nanomedicine
    Abstract: Brain–computer interface (BCI) has become a key research topic in the fields of translational/cognitive neuroscience, neuroengineering, and neurorehabilitation. BCI systems can serve as an effective neurofeedback mechanism in various applications ranging from clinical assessment, health care, intelligent transportation, education, and robotic control to entertainment, and thus, a wide spectrum of users/patients can benefit from this novel technology.
    Date: 2017-03-22
    Relation: International Journal of Fuzzy Systems. 2017 Mar 22;19(2):528.
    Link to: http://dx.doi.org/10.1007/s40815-017-0315-0
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1562-2479&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000399118100020
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85016933044
    Appears in Collections:[廖倫德] 期刊論文

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