Semi-automated Annotation of Signal Events in Clinical EEG Data

no code implementations • 3 Jan 2018 • Scott Yang, Silvia Lopez, Meysam Golmohammadi, Iyad Obeid, Joseph Picone

In this study, we investigated the effectiveness of using an active learning algorithm to automatically annotate a large EEG corpus.

Active Learning BIG-bench Machine Learning +1

Improved EEG Event Classification Using Differential Energy

no code implementations • 3 Jan 2018 • Amir Harati, Meysam Golmohammadi, Silvia Lopez, Iyad Obeid, Joseph Picone

Feature extraction for automatic classification of EEG signals typically relies on time frequency representations of the signal.

Classification EEG +1

The Temple University Hospital Seizure Detection Corpus

no code implementations • 3 Jan 2018 • Vinit Shah, Eva von Weltin, Silvia Lopez, James Riley McHugh, Lily Veloso, Meysam Golmohammadi, Iyad Obeid, Joseph Picone

We introduce the TUH EEG Seizure Corpus (TUSZ), which is the largest open source corpus of its type, and represents an accurate characterization of clinical conditions.

Descriptive EEG +1

An Analysis of Two Common Reference Points for EEGs

no code implementations • 3 Jan 2018 • Silvia Lopez, Aaron Gross, Scott Yang, Meysam Golmohammadi, Iyad Obeid, Joseph Picone

In this study, we explore the impact this variability has on machine learning performance.

EEG Vocal Bursts Valence Prediction