Statistical algorithms for emotion classification via functional connectivity

Statistical algorithms for emotion classification via functional connectivity

Pattern recognition algorithms decode emotional brain states by using functional connectivity measures which are extracted from EEG signals as input to the statistical classifiers. An open-access EEG dataset for emotional state analysis is used to classify two dominant emotional models, based on val...

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Bibliographic Details
Main Author: Fatemeh Zareayan Jahromy, Atena Bajoulvand, Mohammad Reza Daliri
Format: Article
Language:English
Published: IMR (Innovative Medical Research) Press Limited 2019-09-01
Series:Journal of Integrative Neuroscience
Subjects:
|emotion|pattern recognition|eeg signals|functional connectivity|mutual information|pearson correlation|phase-locking value|magnitude square coherence
Online Access:https://jin.imrpress.com/fileup/1757-448X/PDF/1569287161424-1554350032.pdf

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https://jin.imrpress.com/fileup/1757-448X/PDF/1569287161424-1554350032.pdf

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