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Open access repository for hybrid EEG-NIRS data
Jaeyoung Shin
, Alexander Von Luhmann
, Benjamin Blankertz
, Do Won Kim
, Jan Mehnert
, Jichai Jeong
,
Han Jeong Hwang
,
Klaus Robert Muller
*
*
Corresponding author for this work
Department of Artificial Intelligence
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
6
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Keyphrases
Analysis pipeline
33%
Attractive Alternatives
33%
BCI Data
33%
Brain Imaging
33%
Brain Imaging Data
33%
Brain Imaging Modalities
33%
Brain Signals
66%
Classification Accuracy
33%
Classification Analysis
33%
Cognitive Task
66%
Electroencephalography
100%
Hybrid System
33%
Imaging Systems
33%
Increased Demand
33%
Low Signal-to-noise Ratio
33%
Mental Arithmetic
33%
Motion Artifact
33%
Motor Imagery
33%
Multimodal Imaging System
33%
N-back
33%
Near-infrared Spectroscopy
100%
Open Access Repositories
100%
Open Dataset
33%
Reference Results
33%
Selection Response
33%
Spectroscopic Data
100%
Spectroscopic System
33%
System Performance
33%
Vulnerability
33%
Word Generation
33%
Computer Science
Classification Accuracy
50%
Classification Analysis
50%
Imaging Modality
50%
Imaging Systems
100%
Open Access
50%
Open Access Repository
100%
Response Selection
50%
Signal-to-Noise Ratio
50%
Systems Performance
50%
Neuroscience
Brain Imaging
100%
Brain-Computer Interface
33%
Electroencephalography
100%
Near Infrared Spectroscopy
100%
Signal-to-Noise Ratio
33%
Biochemistry, Genetics and Molecular Biology
Electroencephalography
100%
Infrared Radiation
100%
Motion
33%
Signal Noise Ratio
33%