Correlation Assisted Strong Uncorrelating Transform Complex Common Spatial Patterns for Spatially Distant Channel Data.

about

Correlation Assisted Strong Uncorrelating Transform Complex Common Spatial Patterns for Spatially Distant Channel Data.

Item

http://www.wikidata.org/entity/Q55315677

description

2018 nî lūn-bûn

@nan

2018年の論文

@ja

2018年学术文章

@wuu

2018年学术文章

@zh-cn

2018年学术文章

@zh-hans

2018年学术文章

@zh-my

2018年学术文章

@zh-sg

2018年學術文章

@yue

2018年學術文章

@zh

2018年學術文章

@zh-hant

name

Correlation Assisted Strong Un ...... patially Distant Channel Data.

@en

Correlation Assisted Strong Un ...... patially Distant Channel Data.

@nl

type

Item

label

Correlation Assisted Strong Un ...... patially Distant Channel Data.

@en

Correlation Assisted Strong Un ...... patially Distant Channel Data.

@nl

prefLabel

Correlation Assisted Strong Un ...... patially Distant Channel Data.

@en

Correlation Assisted Strong Un ...... patially Distant Channel Data.

@nl

P1476

Correlation Assisted Strong Un ...... Spatially Distant Channel Data

@en

P2093

Heejun Lee

http://www.w3.org/2001/XMLSchema#string

Jiwoo You

http://www.w3.org/2001/XMLSchema#string

Seung Min Lee

http://www.w3.org/2001/XMLSchema#string

P2860

PhysioBank, PhysioToolkit, and PhysioNet : Components of a New Research Resource for Complex Physiologic Signals

Multivariate denoising methods combining wavelets and principal component analysis for mass spectrometry data.

The analytic common spatial patterns method for EEG-based BCI data.

ELAN: a software package for analysis and visualization of MEG, EEG, and LFP signals.

A novel channel selection method for optimal classification in different motor imagery BCI paradigms.

L1 norm based common spatial patterns decomposition for scalp EEG BCI

Motor Imagery Classification Using Mu and Beta Rhythms of EEG with Strong Uncorrelating Transform Based Complex Common Spatial Patterns

Performance variation in motor imagery brain-computer interface: a brief review.

Maintaining the integrity of sources in complex learning systems: intraference and the correlation preserving transform.

Improvement of EEG signal acquisition: an electrical aspect for state of the art of front end.

P304

4281230

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1155/2018/4281230

http://www.w3.org/2001/XMLSchema#string

P478

2018

http://www.w3.org/2001/XMLSchema#string

P50

Youngjoo Kim

Cheolsoo Park

P577

2018-05-15T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29887878

http://www.w3.org/2001/XMLSchema#string

P932

5977023

http://www.w3.org/2001/XMLSchema#string