State-space modeling and estimation for multivariate brain signals

• Main Author: Samdin, Siti Balqis
• Format: Thesis
• Language: English
• Published: 2017
• Subjects: QH Natural history
• Online Access: http://eprints.utm.my/id/eprint/79529/1/SitiBalqisSamdinPFBME2017.pdf; http://eprints.utm.my/id/eprint/79529/
• Institution: Universiti Teknologi Malaysia

Brain signals are derived from underlying dynamic processes and interactions between populations of neurons in the brain. These signals are typically measured from distinct regions, in the forms of multivariate time series signals and exhibit non-stationarity. To analyze these multi-dimensional data...