Prediction of synchrostate transitions in EEG signals using Markov chain models
Prediction of synchrostate transitions in EEG signals using Markov chain models
This letter 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. Prediction accuracies with such finite Markov chain models for synchrostate transition are also compared, under a data-partitioning based cross-validation scheme.
149-152
Jamal, Wasifa
3f70176e-843e-46b7-8447-4eefaef104f1
Das, Saptarshi
e06f2eb0-1e3e-453c-ba78-82eed18ceac9
Oprescu, Ioana-Anastasia
a62fc1ef-4f31-45f1-bb9c-11ba5a7dbe43
Maharatna, Koushik
93bef0a2-e011-4622-8c56-5447da4cd5dd
February 2015
Jamal, Wasifa
3f70176e-843e-46b7-8447-4eefaef104f1
Das, Saptarshi
e06f2eb0-1e3e-453c-ba78-82eed18ceac9
Oprescu, Ioana-Anastasia
a62fc1ef-4f31-45f1-bb9c-11ba5a7dbe43
Maharatna, Koushik
93bef0a2-e011-4622-8c56-5447da4cd5dd
Jamal, Wasifa, Das, Saptarshi, Oprescu, Ioana-Anastasia and Maharatna, Koushik
(2015)
Prediction of synchrostate transitions in EEG signals using Markov chain models.
IEEE Signal Processing Letters, 22 (2), .
(doi:10.1109/LSP.2014.2352251).
Abstract
This letter 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. Prediction accuracies with such finite Markov chain models for synchrostate transition are also compared, under a data-partitioning based cross-validation scheme.
Text
SPL-15517-2014_double_column.pdf
- Accepted Manuscript
More information
Accepted/In Press date: 15 August 2014
Published date: February 2015
Organisations:
Electronic & Software Systems
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Local EPrints ID: 368720
URI: http://eprints.soton.ac.uk/id/eprint/368720
PURE UUID: ec2addc2-4209-49a4-8baf-bd9d401909d1
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Date deposited: 09 Sep 2014 13:33
Last modified: 14 Mar 2024 17:52
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Contributors
Author:
Wasifa Jamal
Author:
Saptarshi Das
Author:
Ioana-Anastasia Oprescu
Author:
Koushik Maharatna
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