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Dear Biomechanics Community,
As you might know, the Brain Imaging Data Structure (BIDS) is a community-driven standard for data sharing in the human brain-bahavior domain. This effort was first started by providing guidelines for f/MRI data sharing, but very soon was extended to other imaging modalities, such as EEG, MEG, PET, etc. The BIDS-compliant data can be shared easily via NIH-supported platforms such as OpenNeuro.org and NEMAR.org, as well as other platforms across the globe, and can be analyzed using open-source tools such as MNE-Python and EEGLAB on local machines and HPCs for free, including on NSGPortal.org (free compute is limited to non-profit research purposes).
Most recently, Motion-BIDS extended the specifications to include motion capture data. We are excited to introduce the EMG-BIDS Extension Proposal (BEP042) as a framework for organizing and describing electromyography (EMG) data, including high-density EMG recordings, within the BIDS format. This BEP addresses the need for consistent representation of EMG data to enhance reproducibility and data sharing.
Key features of the proposal include:
The full proposal is available for review at:
We welcome feedback from the community in any of the following ways:
Your input is crucial in ensuring that this specification meets the needs of researchers working with EMG data across various disciplines.
Thanks,
Yahya Shirazi and the BEP042 Team
______________________
Seyed (Yahya) Shirazi, Ph.D., Asst. Project Scientist, Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSD, neuromechanist.github.io
As you might know, the Brain Imaging Data Structure (BIDS) is a community-driven standard for data sharing in the human brain-bahavior domain. This effort was first started by providing guidelines for f/MRI data sharing, but very soon was extended to other imaging modalities, such as EEG, MEG, PET, etc. The BIDS-compliant data can be shared easily via NIH-supported platforms such as OpenNeuro.org and NEMAR.org, as well as other platforms across the globe, and can be analyzed using open-source tools such as MNE-Python and EEGLAB on local machines and HPCs for free, including on NSGPortal.org (free compute is limited to non-profit research purposes).
Most recently, Motion-BIDS extended the specifications to include motion capture data. We are excited to introduce the EMG-BIDS Extension Proposal (BEP042) as a framework for organizing and describing electromyography (EMG) data, including high-density EMG recordings, within the BIDS format. This BEP addresses the need for consistent representation of EMG data to enhance reproducibility and data sharing.
Key features of the proposal include:
- Standardized directory structure for EMG data organization
- Comprehensive metadata schema for EMG acquisition parameters
- Support for both conventional and high-density EMG recordings
- Specifications for sensor/electrode positions and channel information
- Integration with existing BIDS modalities and annotations
The full proposal is available for review at:
- Pull Request: https://github.com/bids-standard/bid...tion/pull/1998
- HTML Preview: https://bids-specification--1998.org...myography.html
- Example Implementation: https://github.com/bids-standard/bids-examples/pull/480 (The examples are work in progress and may not be updated to the latest changes in the specifications)
We welcome feedback from the community in any of the following ways:
- Comment directly on the GitHub pull request (or the corresponding issue)
- Email the moderators (shirazi@ieee.org)
- Respond to this thread
Your input is crucial in ensuring that this specification meets the needs of researchers working with EMG data across various disciplines.
Thanks,
Yahya Shirazi and the BEP042 Team
______________________
Seyed (Yahya) Shirazi, Ph.D., Asst. Project Scientist, Swartz Center for Computational Neuroscience, Institute for Neural Computation, UCSD, neuromechanist.github.io