Tracey A. Cassar, Kenneth P. Camilleri and Simon G. Fabri
Switching multiple models, jump linear systems, sleepEEG.
A jump system is characterized by multimodal dynamics which switch from one mode to another in time or space. This work investigates the application of switching mul- tiple models (SMM) assuming linear Gaussian dynamics to segment sleep EEG data which is known to be tempo- rally multimodal. Ad hoc approximations applied to the SMM framework as well as techniques using Interacting Multiple Models (IMM) to handle the large number of pos- sible mode sequences are both shown to give satisfactory segmentation results, comparable to those obtained using Hidden Markov Models in [8]. This work also extends the framework to not only identify windows in the time se- ries containing background EEG or sleep spindles but also those with K-complexes.
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