Estimating dynamic cortical connectivity from motor imagery EEG using KALMAN smoother & EM algorithm.
S. Balqis SamdinChee-Ming TingSh-Hussain SallehMahyar HamediA. B. Mohd NoorPublished in: SSP (2014)
Keyphrases
- em algorithm
- motor imagery
- expectation maximization
- brain computer interface
- mixture model
- maximum likelihood
- eeg signals
- maximum likelihood estimation
- parameter estimation
- likelihood function
- gaussian mixture model
- generative model
- maximum likelihood estimates
- expectation maximisation
- incomplete data
- eeg data
- gaussian mixture
- probability density function
- log likelihood
- unsupervised learning
- maximum a posteriori
- signal processing
- spinal cord injury
- mixture modeling
- density estimation
- pattern recognition
- finite mixture model
- image processing
- machine learning
- blind source separation
- motion parameters
- healthy subjects
- model based clustering
- mixture distribution
- image segmentation
- probabilistic principal component analysis