000 01286 a2200349 4500
005 20250517145202.0
264 0 _c20180702
008 201807s 0 0 eng d
022 _a1741-2552
024 7 _a10.1088/1741-2552/aa6a23
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aChen, Yi-Feng
245 0 0 _aA new multivariate empirical mode decomposition method for improving the performance of SSVEP-based brain-computer interface.
_h[electronic resource]
260 _bJournal of neural engineering
_c08 2017
300 _a046028 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't
650 0 4 _aBrain-Computer Interfaces
_xstandards
650 0 4 _aElectroencephalography
_xmethods
650 0 4 _aEmpirical Research
650 0 4 _aEvoked Potentials, Visual
_xphysiology
650 0 4 _aFemale
650 0 4 _aHumans
650 0 4 _aMale
650 0 4 _aMultivariate Analysis
650 0 4 _aPattern Recognition, Automated
_xmethods
650 0 4 _aPhotic Stimulation
_xmethods
700 1 _aAtal, Kiran
700 1 _aXie, Sheng-Quan
700 1 _aLiu, Quan
773 0 _tJournal of neural engineering
_gvol. 14
_gno. 4
_gp. 046028
856 4 0 _uhttps://doi.org/10.1088/1741-2552/aa6a23
_zAvailable from publisher's website
999 _c27030725
_d27030725