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Prediction of synchrostate transitions in EEG signals using Markov chain models

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
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), 149-152. (doi:10.1109/LSP.2014.2352251).

Record type: Article

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.

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SPL-15517-2014_double_column.pdf - Accepted Manuscript
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More information

Accepted/In Press date: 15 August 2014
Published date: February 2015
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 368720
URI: https://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: 19 Jul 2019 21:03

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