Whatever works: a systematic user-centered training protocol to optimize brain-computer interfacing individually.
about
Evaluation of Different EEG Acquisition Systems Concerning Their Suitability for Building a Brain-Computer Interface: Case StudiesWorkshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.Audio-visual feedback improves the BCI performance in the navigational control of a humanoid robotA co-adaptive brain-computer interface for end users with severe motor impairmentNon-motor tasks improve adaptive brain-computer interface performance in users with severe motor impairment.Individually adapted imagery improves brain-computer interface performance in end-users with disability.Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns.EEG oscillatory patterns and classification of sequential compound limb motor imageryBrain-computer interfaces: a powerful tool for scientific inquiry.Brain-computer interface game applications for combined neurofeedback and biofeedback treatment for children on the autism spectrum.Usability and performance-informed selection of personalized mental tasks for an online near-infrared spectroscopy brain-computer interface.Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces.Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline.Heading for new shores! Overcoming pitfalls in BCI design.Frequency Specific Cortical Dynamics During Motor Imagery Are Influenced by Prior Physical Activity
P2860
Q28598193-67FFFF32-0CE1-4F5C-9527-C29708496323Q30421616-17B8922E-FE0B-4ECE-9B11-CE454C0B4169Q33764946-D1EA6BC8-D147-4F79-9B98-C29AC2C38CDCQ33889627-486D293F-C76B-43F1-8CE8-80A5CDCE1FDEQ34336317-9A9DDECE-DFDB-4B0D-8AF1-7E81592C65CCQ35620758-3D1DC855-FC5D-46E5-810A-423367CFC687Q35857368-0A20C11C-BD2F-4141-9606-F280E3296D19Q36517656-0C481837-F56E-45DE-9BDE-3E6F81EF0E52Q38202802-C10AF55B-A137-45F9-A787-B593A43F82DAQ38234904-6D1AF128-CCE1-49ED-9E04-6BD0091F3F7DQ42409006-9E22E9E9-DD87-498E-B95A-7A348D8B6551Q46226265-DE88EE90-7643-488D-A465-B8D4A9208B6BQ47138822-EB1192D0-7CB0-4B38-9515-585C1B3ECA60Q55035656-7542B2C6-D14B-42BD-9E71-13D7B442EB6AQ58556841-6BAFC24F-17BD-4C6F-89ED-4A751FB09B9A
P2860
Whatever works: a systematic user-centered training protocol to optimize brain-computer interfacing individually.
description
2013 nî lūn-bûn
@nan
2013 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Whatever works: a systematic u ...... uter interfacing individually.
@ast
Whatever works: a systematic u ...... uter interfacing individually.
@en
type
label
Whatever works: a systematic u ...... uter interfacing individually.
@ast
Whatever works: a systematic u ...... uter interfacing individually.
@en
prefLabel
Whatever works: a systematic u ...... uter interfacing individually.
@ast
Whatever works: a systematic u ...... uter interfacing individually.
@en
P2860
P1433
P1476
Whatever works: a systematic u ...... uter interfacing individually.
@en
P2093
Christa Neuper
Elisabeth V C Friedrich
P2860
P304
P356
10.1371/JOURNAL.PONE.0076214
P407
P577
2013-09-23T00:00:00Z