EpiCurrents
A JavaScript library for processing and displaying neurophysiological signals.
Access
Allow users direct access to your open data signal collection or dataset through a web browser.
Collaborate
Annotate signal collections using a standardized interface without the need for any dedicated software.
Educate
Use interactive examples from real patient cases for medical or data science education.
Key aspects
Below are the key aspects of the EpiCurrents project.
Use on any device
As a JavaScript application, EpiCurrents can be used on any device that runs a modern web browser. Individual features may be limited by device capabilities, such as the amount of memory available to the application.
Leverage Python and AI
Python’s powerful data processing libraries can be employed to transform and preprocess the signal data. ONNX (Open Neural Network eXchange) machine learning models can be used to analyze signals and results can be displayed alongside the original signal data.
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Open source and free to use
EpiCurrents source code is licensed under the Apache-2.0 license, which allows for free non-commercial and commercial use. Anyone willing to contribute to the development of the project is free to do so by committing additions or alterations to the source code repository.
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Latest from the blog
Stay up-to-date with the project development by following our blog.
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ICCN 2026 Poster Presentation
Companion notes for the Epicurrents poster at the International Congress of Clinical Neurophysiology. A poster has room for a claim but not for its boundaries; this page states both. In brief Epicurrents is a self-hosted platform for viewing, annotating and managing clinical neurophysiological recordings. Each institution runs its own instance and keeps its own data;…