BigDataFr recommends: Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction

Subjects: Learning (cs.LG); Machine Learning (stat.ML)

[…] ABSTRACT

Developing a Brain-Computer Interface~(BCI) for seizure prediction can help epileptic patients have a better quality of life. However, there are many difficulties and challenges in developing such a system as a real-life support for patients. Because of the nonstationary nature of EEG signals, normal and seizure patterns vary across different patients. Thus, finding a group of manually extracted features for the prediction task is not practical. Moreover, when using implanted electrodes for brain recording massive amounts of data are produced.

This big data calls for the need for safe storage and high computational resources for real-time processing. To address these challenges, a cloud-based BCI system for the analysis of this big EEG data is presented. […]

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By Mohammad-Parsa Hosseini, Hamid Soltanian-Zadeh, Kost Elisevich, Dario Pompili
Source: arxiv.org