Resources
All tutorials and reference material are available both below and in the MUnitQuest Tutorials repository on GitHub. As registration and submission are handled through Codabench, dedicated platform tutorials are included alongside the technical content below.
Data Challenge
Tools to help you prepare and submit a BIDS-compliant HD-EMG dataset.
MUnitQuest EMG-BIDS Tutorial
A step-by-step guide covering how to prepare an HD-EMG dataset in EMG-BIDS format and organise your labeled spike trains (Steps 1 and 2 of the submission process). Walks through five simple CSV template files that generate a complete set of BIDS metadata files, with Python and MATLAB code throughout.
MUnitQuest EMG-BIDS Metadata Tool
An online form that takes your five filled-in CSV files and produces a metadata.zip containing all BIDS sidecar files, ready to accompany your recordings.
EMG-BIDS Tutorial (python)
Coming soon
Algorithm Challenge
Jupyter notebooks to help algorithm developers get started with the MUnitQuest training data and submission pipeline.
Coming soon.