Search Results for author: Saeedeh Ziyabari

Found 4 papers, 0 papers with code

Optimizing Channel Selection for Seizure Detection

no code implementations3 Jan 2018 Vinit Shah, Meysam Golmohammadi, Saeedeh Ziyabari, Eva Von Weltin, Iyad Obeid, Joseph Picone

However, when fewer electrodes are used, less spatial information is available, making it harder to detect artifacts.

Artifact Detection EEG +1

Gated Recurrent Networks for Seizure Detection

no code implementations3 Jan 2018 Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Eva Von Weltin, Christopher Campbell, Iyad Obeid, Joseph Picone

Recurrent Neural Networks (RNNs) with sophisticated units that implement a gating mechanism have emerged as powerful technique for modeling sequential signals such as speech or electroencephalography (EEG).

EEG Seizure Detection

Objective evaluation metrics for automatic classification of EEG events

no code implementations29 Dec 2017 Saeedeh Ziyabari, Vinit Shah, Meysam Golmohammadi, Iyad Obeid, Joseph Picone

In this paper, we discuss the deficiencies of existing metrics for a seizure detection task and propose several new metrics that offer a more balanced view of performance.

Classification EEG +4

Deep Architectures for Automated Seizure Detection in Scalp EEGs

no code implementations28 Dec 2017 Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Silvia Lopez de Diego, Iyad Obeid, Joseph Picone

We have also evaluated our system on a held-out evaluation set based on the Duke University Seizure Corpus and demonstrate that performance trends are similar to the TUH EEG Seizure Corpus.

EEG Seizure Detection

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