Sciweavers

Share
ISCI   2008
Wall of Fame | Most Viewed ISCI-2008 Paper
ISCI
2008
188views more  ISCI 2008»
9 years 7 months ago
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface
In order to characterize the non-Gaussian information contained within the EEG signals, a new feature extraction method based on bispectrum is proposed and applied to the classifi...
Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
Disclaimer and Copyright Notice
Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.
IdReadViewsTitleStatus
1Download preprint from source188
2Download preprint from source181
3Download preprint from source166
4Download preprint from source166
5Download preprint from source165
6Download preprint from source160
7Download preprint from source159
8Download preprint from source145
9Download preprint from source139
10Download preprint from source137
11Download preprint from source137
12Download preprint from source130
13Download preprint from source129
14Download preprint from source124
15Download preprint from source120
16Download preprint from source117
17Download preprint from source116
18Download preprint from source116
19Download preprint from source111
20Download preprint from source108
21Download preprint from source107
22Download preprint from source104
23Download preprint from source102
24Download preprint from source96
25Download preprint from source95
26Download preprint from source93
27Download preprint from source88
28Download preprint from source86
29Download preprint from source86
30Download preprint from source86
31Download preprint from source86
32Download preprint from source84
33Download preprint from source84
34Download preprint from source83
35Download preprint from source83
36Download preprint from source81
37Download preprint from source81
38Download preprint from source74
39Download preprint from source74
40Download preprint from source72
41Download preprint from source71
42Download preprint from source71
43Download preprint from source69
44Download preprint from source68
45Download preprint from source67
46Download preprint from source66
47Download preprint from source65
48Download preprint from source64
49Download preprint from source58
50Download preprint from source58
51Download preprint from source56
books