EpiCurrents was featured on the European Congress of Clinical Neurophysiology 2023 in Marseille in the form a poster presentation. Below you can find the main points of the presentation and the original poster file.
The presentation included a live demonstration of the application. This has been taken down for the time being, but a new and improved demo version is in the works!
Poster presentation
What the EpiCurrents project is
- A JavaScript library for viewing neurophysiological signals in a web browser.
- Designed to be modular and can be tailored to different use cases.
- Currently capable of displaying EEG, EMG, NCS and SFEMG signals.
- Able to leverage Python (including SciPy and MNE) for signal processing.
- Capable of running ONNX machine learning models.
- Usable without any special server-side or client-side software.
- For scientific and educational purposes, not for clinical use.
- Free to use and released as open source.
Why you might need it
- To offer open access to signal data featured in your publication.
- See the basic demo for different types of signal data.
- To facilitate annotation of large datasets with multiple annotators.
- To test inter-rater agreement for series of studies.
- To visually evaluate the performance of machine learning models.
- See the AI demo for an integrated ONNX machine learning model.
- To utilize real-life data in education.
- Or to use an accessible, platform-agnostic, zero-footprint, and highly customizable neurophysiological signal viewer for some other purpose.
How to gain access
Check the project’s online resources:
- EpiCurrents.io (this site) – General information, manuals and stable releases (soon).
- GitHub.com/EpiCurrents/ – Source code repository for developers.
