Science Score: 52.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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✓Institutional organization owner
Organization bammri has institutional domain (dbe.unibas.ch) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.3%) to scientific vocabulary
Repository
Open Grip Force Sensor for MRI
Basic Info
- Host: GitHub
- Owner: BAMMri
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Size: 17.7 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Open Grip Force Sensor for MRI
🚧 This project is currently under development🚧
The Open-Grip-Force project is an open-source grip force sensor designed for MRI applications. Developed by the Basel Muscle MRI Group, this repository contains related documentation, data and code to build your own force sensor. Additionally, it includes datasets and scripts to reproduce figures from our publications currently under review.
Check out the GUI and assembly instructions and the Arduino code for the NMES & Trigger extension.
Be conscious about different versions of this repository.
👨💻 Creator
This repository is developed and maintained by the Basel Muscle MRI Group.
📁 Project Structure
Open-Grip-Force/
│── data/
│ ├── CADModels/
│ ├── ForceMeasurements/
│ ├── MRIMeasurements/
│── documents/
│ ├── Assembly instructions (linked above)
│── code/
│ ├── Arduino code for NMES & Trigger extension (source linked above)
│ ├── GUI (source linked above)
📜 License
This work is licensed under a Creative Commons Attribution 3.0 International License.
✉️ Feel free to contribute, report issues, or reach out to collaborate!
Owner
- Name: Basel Muscle MRI
- Login: BAMMri
- Kind: organization
- Website: https://dbe.unibas.ch/en/research/imaging-modelling-diagnosis/basel-muscle-mri/
- Twitter: BAM_Mri
- Repositories: 2
- Profile: https://github.com/BAMMri
Citation (CITATION.CFF)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: 'BAMMir Open Grip Force '
message: >-
If you use this dataset, please cite it using the metadata
from this file.
type: dataset
authors:
- given-names: Sabine Melanie
family-names: Räuber
email: sabine.raeuber@unibas.ch
affiliation: University of Basel
orcid: 'https://orcid.org/0009-0003-5852-1490'
- given-names: 'Francesco '
family-names: Santini
orcid: 'https://orcid.org/0000-0001-6984-4816'
affiliation: University of Basel
repository-code: 'https://github.com/BAMMri/Open-Grip-Force'
abstract: >-
Synchronising dynamic MRI acquisitions with physical force
measurements enables standardised and normalised
assessment of muscle activity but requires ad hoc sensors
compatible with the MR environment. We aimed to develop an
open-source, MRI-compatible grip force sensor for dynamic
Muscle MRI. Phantom measurements with and without the
sensor, with dynamic and anatomical scans, were performed
at a 3T MRI to assess sensor compatibility, impact on
field homogeneity and SNR potential. The grip force sensor
maintained functionality with an additional low-pass
filter installed in the waveguide. The SNR decreased
slightly by 3.7% during the scans. The low-cost,
open-source grip force sensor demonstrated excellent MRI
compatibility and therefore appears to be suitable for use
with dynamic muscle MRI methods to characterise forearm
flexors, with potential applications in the study of
myotonic dystrophy.
keywords:
- MRI
license: GPL-3.0
version: 0.1.0
date-released: '2025-02-04'
GitHub Events
Total
- Release event: 1
- Push event: 25
- Create event: 3
Last Year
- Release event: 1
- Push event: 25
- Create event: 3