Patient Independent Interictal Epileptiform Discharge Detection

no code implementations • 27 Apr 2023 • Matthew McDougall, Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta

This is implemented using raw EEG data, sourced from Temple University Hospital's EEG Epilepsy Corpus, and is found to outperform the current state of the art model for IED detection across the same dataset.

Binary Classification EEG

MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG

no code implementations • 9 Nov 2022 • Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta

The EEG data is fed to our proposed model in two different representations.

EEG Management

Wavelet-Based Multi-Class Seizure Type Classification System

no code implementations • 19 Feb 2022 • Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta

Epilepsy is one of the most common brain diseases that affect more than 1\% of the world's population.

Classification EEG +1

Automatic detection of abnormal EEG signals using wavelet feature extraction and gradient boosting decision tree

no code implementations • 18 Dec 2020 • Hezam Albaqami, Ghulam Mubashar Hassan, Abdulhamit Subasi, Amitava Datta

In this paper, we present an automatic binary classification framework for brain signals in multichannel EEG recordings.

Binary Classification Classification +2