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2019 | OriginalPaper | Chapter

EEG Signal Processing: Applying Deep Learning Methods to Identify and Classify Epilepsy Episodes

Authors : George Suciu, Maria-Cristina Dițu

Published in: Future Access Enablers for Ubiquitous and Intelligent Infrastructures

Publisher: Springer International Publishing

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Abstract

Epilepsy is a chronic disease characterized by a deviation from the normal electrical activity of the brain leading to seizures caused by nerve impulses discharge. It is currently considered the fourth global neurological problem, being overcome only by diseases such as strokes. Moreover, according to the World Health Organization, nearly 50 million people suffer from epilepsy, with approximately 2.4 million patients annually diagnosed. It is worth mentioning that the elderly and children are the most exposed categories, but if the situation is considered, one of 26 people is likely to develop this condition at a point in life.
Through three gates, the network can also be used for larger data sequences. Moreover, given that the EEG signals are significantly more dynamic and not linear, an LSTM-based approach has, by definition, an advantage given by the ability to isolate different characteristics of brain activity. In the United States, for example, this condition can be found at 48 people out of 100,000.

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Literature
2.
go back to reference Malmivuo, J., Plonsey, R.: Bioelectromagnetism. Electroencephalography Malmivuo, J., Plonsey, R.: Bioelectromagnetism. Electroencephalography
10.
go back to reference Gonzalez, J., Yu, W.: Non-linear system modeling using LSTM neural networks. IFAC-PapersOnLine. 51, 485–489 (2018)CrossRef Gonzalez, J., Yu, W.: Non-linear system modeling using LSTM neural networks. IFAC-PapersOnLine. 51, 485–489 (2018)CrossRef
11.
go back to reference Suciu, G., et al.: Big data, internet of things and cloud convergence–an architecture for secure e-health applications. J. Med. Syst. 39(11), 141 (2015)CrossRef Suciu, G., et al.: Big data, internet of things and cloud convergence–an architecture for secure e-health applications. J. Med. Syst. 39(11), 141 (2015)CrossRef
Metadata
Title
EEG Signal Processing: Applying Deep Learning Methods to Identify and Classify Epilepsy Episodes
Authors
George Suciu
Maria-Cristina Dițu
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-23976-3_6

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