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Epilepsy12 Audit Platform

A method designed for robust data visualization and analysis, using an innovative technique specifically developed for anomaly detection in time series. Baptised "Convolutional Kernel Density Estimation" (CKDE), this approach enhances the detection and analysis of anomalies.

Inference-based time-resolved cortical stability and chaos analysis

This project showcases the algorithm used in the Ladybird software to detect pathological anomalies in epilepsy.

This project compares the clinical, MRI, and EEG features of new-onset status epilepticus and non-inaugural status epilepticus to understand their distinctions and outcomes over one year.

Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"

This project provides insightful data visualization tools, focusing on effective colormaps for detecting anomalies in high-frequency electrical signals, such as pathological anomalies in EEG data. Baptised "Referential Based Delineated" (ReBaD), this technique enhances the clarity and accuracy of anomaly detection.

This work assesses the performance of the Ladybird method (CNN model & homemade algorithm), focusing on metrics like Sensitivity, Precision, and F-measure. Comparisons are made across anomaly levels (0, 5, 10, 15 dB) against other detectors on gold standard data.

This project presents a separate study from the Ladybird software, focusing on the results of varying class weights (FR vs non-FR) during CNN training. Note: FR = Fast Ripple, a pathological brain oscillation in epilepsy.

Data Engineering tool that converts EEG data into a BIDS-like structure to standardize the format and nomenclature of clinical EEG data from Neuralynx and Micromed systems​. More information about BIDS structure here.

A Python package for behavioral state analysis using EEG. BEST includes tools automated sleep classification of long-term iEEG data recorded using implantable neural stimulation and recording devices, removal of DBS artifacts and feature extraction.

This repository contains the toolkit to create and proocess the database of seizure and seizure-like data that has been contributed by OpenSeizureDetector users to contribute to research to improve seizure detection algorithms (Open Seizure Toolkit, OSTK).

Ability is a browser extension that helps people with varying degrees of ability have more control over their browsing experience.

Track epileptic seizures from an Apple Shortcut

Heart Rate / Epilepsy Alarm

Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages

Neuroimaging Informatics Technology Initiative (NIfTI) RM (T1w & T2-FLAIR) segmentation of epilectic seizures using YOLOv8

Epilepsy icons/emojis in a clean SVG format.

Repository for the EpiScope Project