A Multivariate Empirical Mode Decomposition-Based Data-Driven Approach for Extracting Task-Dependent Hemodynamic Responses in Olfactory-Induced fMRI.
Kuo-Wei WangChia-Yuen ChenHsiao-Huang ChangChuan-Chih HsuGong-Yau LanHao-Teng HsuKuo-Kai ShyuWing P. ChanPo-Lei LeePublished in: IEEE Access (2019)
Keyphrases
- empirical mode decomposition
- functional magnetic resonance imaging
- event related
- non stationary
- stock market prediction
- human brain
- signal analysis
- hilbert huang transform
- pattern classification
- brain activity
- multi band
- wavelet decomposition
- human subjects
- intrinsic mode functions
- brain computer interface
- high dimensional
- data analysis
- eeg signals
- feature extraction
- cognitive states
- brain images
- correlation analysis
- image compression
- multiscale