49 citations · 156 across the 8 of their papers we have counts for
3 papers · 1 filter
Deep Architectures for Automated Seizure Detection in Scalp EEGs
Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah +3
Automated seizure detection using clinical electroencephalograms is a challenging machine learning problem because the multichannel signal often has an extremely low signal to nois…
Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures
Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego +2
Objective: A clinical decision support tool that automatically interprets EEGs can reduce time to diagnosis and enhance real-time applications such as ICU monitoring. Clinicians ha…
Objective evaluation metrics for automatic classification of EEG events
Saeedeh Ziyabari, Vinit Shah, Meysam Golmohammadi +2
The evaluation of machine learning algorithms in biomedical fields for applications involving sequential data lacks standardization. Common quantitative scalar evaluation metrics s…