Efficient automatic selection and combination of EEG features in least squares classifiers for motor imagery brain-computer interfaces.
about
A Ternary Brain-Computer Interface Based on Single-Trial Readiness Potentials of Self-initiated Fine Movements: A Diversified Classification Scheme.A Comparison of Independent Event-Related Desynchronization Responses in Motor-Related Brain Areas to Movement Execution, Movement Imagery, and Movement Observation.Exploring Combinations of Different Color and Facial Expression Stimuli for Gaze-Independent BCIs.Brain-computer interface after nervous system injury.Resting State Effective Connectivity Allows Auditory Hallucination Discrimination.Epileptic EEG classification based on kernel sparse representation.Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation.Uncorrelated multiway discriminant analysis for motor imagery EEG classification.Classification of obsessive compulsive disorder by EEG complexity and hemispheric dependency measurements.Spreading codes enables the blind estimation of the hemodynamic response with short-events sequences.Fuzzy clustering-based feature extraction method for mental task classification.Bregman divergences for growing hierarchical self-organizing networks.Electrode fusion for the prediction of self-initiated fine movements from single-trial readiness potentials.Neurophysiological Analysis of the Genesis Mechanism of EEG During the Interictal and Ictal Periods Using a Multiple Neural Masses Model.A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.A longitudinal EEG study of Alzheimer's disease progression based on a complex network approach.An ERP-based BCI using an oddball paradigm with different faces and reduced errors in critical functions.Sensor (group feature) selection with controlled redundancy in a connectionist framework.A high-speed brain speller using steady-state visual evoked potentials.Kernel collaborative representation-based automatic seizure detection in intracranial EEG.Quantifying Different Tactile Sensations Evoked by Cutaneous Electrical Stimulation Using Electroencephalography Features.
P2860
Q33723710-719FFD56-467C-429D-B612-7AF179B8AFFFQ36135583-5D469146-4F6E-43A2-BCF0-C0AAB41948EBQ36516185-6F65172B-F021-4CBA-BDA8-83CCA6192BB8Q38246403-A0A0F5E9-D12F-49BE-A8DC-D28EC35EA0C2Q38920314-BC8B92F4-E161-45DF-A816-5497E0DFDC04Q39217409-C3232C17-D0F9-467B-83D1-BB3A60596552Q39975631-A43509D2-83D4-4210-9AF3-1ECF827465D3Q40926590-07A9D1D7-3F7B-49FC-A24F-5AF9AA33EFA5Q41169989-568036E3-ACC8-43CE-A6B0-20E0AEFEC6CDQ41649235-F2E4DDCE-5E83-4F07-9C3E-1012AF0CE1CBQ42289881-D7A9B8C5-2931-4A35-8487-E6884BBF597AQ44531902-A7A5ED82-A51F-417C-884B-D4EFF5BB8D26Q47658236-57506817-F4D1-4B8B-9117-A0DB601114DEQ47996031-77B96BA2-F384-4248-A9BD-6CDE3FF83BCDQ48265004-EED8A241-76D2-4290-AC3C-72B300618F74Q48342446-30800693-553A-4949-9A83-71B71E5BCE70Q48568414-EE27E6ED-B042-408A-A409-4F533358BB8EQ48626577-40E4DC1F-1817-471A-8F78-D13819123237Q48626580-39CFDBE9-16A0-494C-88DE-F8C67936F4B7Q50963034-60D8B546-CD2C-46CC-9FD1-6B83603482DAQ51563696-39EF04CB-0474-4C7C-946F-CC0A1701E3AD
P2860
Efficient automatic selection and combination of EEG features in least squares classifiers for motor imagery brain-computer interfaces.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年学术文章
@wuu
2013年学术文章
@zh
2013年学术文章
@zh-cn
2013年学术文章
@zh-hans
2013年学术文章
@zh-my
2013年学术文章
@zh-sg
2013年學術文章
@yue
2013年學術文章
@zh-hant
name
Efficient automatic selection ...... ery brain-computer interfaces.
@en
Efficient automatic selection ...... ery brain-computer interfaces.
@nl
type
label
Efficient automatic selection ...... ery brain-computer interfaces.
@en
Efficient automatic selection ...... ery brain-computer interfaces.
@nl
prefLabel
Efficient automatic selection ...... ery brain-computer interfaces.
@en
Efficient automatic selection ...... ery brain-computer interfaces.
@nl
P2093
P2860
P1476
Efficient automatic selection ...... ery brain-computer interfaces.
@en
P2093
German Rodríguez-Bermúdez
Joaquín Roca-Dorda
Pedro J García-Laencina
P2860
P304
P356
10.1142/S0129065713500159
P577
2013-05-26T00:00:00Z