Application of Empirical Mode Decomposition for Decoding Perception of Faces Using Magnetoencephalography
Neural decoding is useful to explore the timing and source location in which the brain encodes information. Higher classification accuracy means that an analysis is more likely to succeed in extracting useful information from noises. In this paper, we present the application of a nonlinear, nonstati...
Main Authors: | Chun-Hsien Hsu, Ya-Ning Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/18/6235 |
Similar Items
-
An Investigation Study on Mode Mixing Separation in Empirical Mode Decomposition
by: Han-Ping Huang, et al.
Published: (2019-01-01) -
Human Face Perception Using Electroencephalography and Magnetoencephalography
by: Kensaku Miki, et al.
Published: (2022-03-01) -
Ensemble Empirical Mode Decomposition: Image Data Analysis with White-noise Reflection
by: M. Kopecký
Published: (2010-01-01) -
Magnetoencephalography recording and analysis
by: Jayabal Velmurugan, et al.
Published: (2014-01-01) -
An Approach for Estimating Lightning Current Parameters Using the Empirical Mode Decomposition Method
by: Selma Grebović, et al.
Published: (2022-12-01)