Prediction of Synchrostate Transitions in EEG Signals Using Markov Chain Models

20 Oct 2014 • Wasifa Jamal • Saptarshi Das • Ioana-Anastasia Oprescu • Koushik Maharatna

This paper proposes a stochastic model using the concept of Markov chains for the inter-state transitions of the millisecond order quasi-stable phase synchronized patterns or synchrostates, found in multi-channel Electroencephalogram (EEG) signals. First and second order transition probability matrices are estimated for Markov chain modelling from 100 trials of 128-channel EEG signals during two different face perception tasks... (read more)

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Prediction of Synchrostate Transitions in EEG Signals Using Markov Chain Models

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