EEG-based image classification via a region-level stacked bi-directional deep learning framework

EEG-based image classification via a region-level stacked bi-directional deep learning framework

Abstract Background As a physiological signal, EEG data cannot be subjectively changed or hidden. Compared with other physiological signals, EEG signals are directly related to human cortical activities with excellent temporal resolution. After the rapid development of machine learning and artificia...

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Bibliographic Details
Main Authors: Ahmed Fares, Sheng-hua Zhong, Jianmin Jiang
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
EEG
Classification of brain activities
Region-level information
Stacked bi-directional LSTM
Online Access:https://doi.org/10.1186/s12911-019-0967-9

Internet

https://doi.org/10.1186/s12911-019-0967-9

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