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1
Basic Study to Reduce the Artifact in Brain Activity Measur..:
, In:
2019 International Conference on Computational Science and Computational Intelligence (CSCI)
,
Shimizu, Shunji
;
Hori, Masaya
;
Inoue, Hiroaki
... - p. 1016-1020 , 2019
Link:
https://doi.org/10.1109/CSCI49370.2019.00194
RT T1 <cTitle>2019 International Conference on Computational Science and Computational Intelligence (CSCI)</cTitle>: T1 <Title>Basic Study to Reduce the Artifact in Brain Activity Measuring Data by Using Auto-Regressive Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9071063&Exemplar=1&LAN=DE A1 Shimizu, Shunji A1 Hori, Masaya A1 Inoue, Hiroaki A1 Kikuchi, Yu A1 Kiryu, Takuya A1 Miwakeichi, Fumikazu YR 2019 K1 Data models K1 Electrocardiography K1 Mental disorders K1 Brain modeling K1 Autoregressive processes K1 Motion artifacts K1 Medical diagnosis K1 Near Infra-Red Spectroscopy K1 Auto Regressive model K1 Artifact SP 1016 OP 1020 LK http://dx.doi.org/https://doi.org/10.1109/CSCI49370.2019.00194 DO https://doi.org/10.1109/CSCI49370.2019.00194 SF ELIB - SuUB Bremen
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