Multi-phase cycle coding for SSVEP based brain-computer interfaces. - Wikidata - awgldk - TriplyDB

Multi-phase cycle coding for SSVEP based brain-computer interfaces.

Multi-phase cycle coding for SSVEP based brain-computer interfaces.

http://www.wikidata.org/entity/Q35147251

about

High-speed spelling with a noninvasive brain-computer interface.Combining multiple features for error detection and its application in brain-computer interface.Hybrid brain-computer interface for biomedical cyber-physical system application using wireless embedded EEG systems.

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Multi-phase cycle coding for SSVEP based brain-computer interfaces.

http://www.wikidata.org/entity/Q35147251

description

2015 nî lūn-bûn

@nan

2015 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2015 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2015年の論文

@ja

2015年論文

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2015年論文

@zh-hant

2015年論文

@zh-hk

2015年論文

@zh-mo

2015年論文

@zh-tw

2015年论文

@wuu

name

Multi-phase cycle coding for SSVEP based brain-computer interfaces.

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Multi-phase cycle coding for SSVEP based brain-computer interfaces.

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type

label

Multi-phase cycle coding for SSVEP based brain-computer interfaces.

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Multi-phase cycle coding for SSVEP based brain-computer interfaces.

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prefLabel

Multi-phase cycle coding for SSVEP based brain-computer interfaces.

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Multi-phase cycle coding for SSVEP based brain-computer interfaces.

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BioMedical Engineering OnLine

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Multi-phase cycle coding for SSVEP based brain-computer interfaces.

@en

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Danhua Zhu

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P2860

Errare machinale est: the use of error-related potentials in brain-machine interfaces

Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials

Multiple frequencies sequential coding for SSVEP-based brain-computer interface.

Brain-computer interfaces for communication and control.

Improvement of classification accuracy in a phase-tagged steady-state visual evoked potential-based brain computer interface using multiclass support vector machine

Brain-computer interfaces based on visual evoked potentials.

Steady-state visually evoked potentials: focus on essential paradigms and future perspectives.

A BCI-based environmental controller for the motion-disabled.

A robust and self-paced BCI system based on a four class SSVEP paradigm: algorithms and protocols for a high-transfer-rate direct brain communication.

Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application.

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5

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scholarly article

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10.1186/1475-925X-14-5

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14

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2015-01-16T00:00:00Z

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25595414

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4349595

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