Ventricular myocardial mesh construction for ECG and FIM simulation
Project description
purkinje-learning-myocardial-mesh
A Python library for modeling, manipulating, and analyzing Purkinje fiber networks embedded in myocardial meshes — useful in computational cardiology, electrophysiology modeling, and bioengineering research.
Features
- Parse and manipulate myocardial mesh data
- Integrate Purkinje network geometries
- Designed for computational simulation environments
- Structured for maintainability and versioned releases
- Automated testing with
pytestand CI-friendly config
Installation
pip install myocardial-mesh
For development:
pip install -e ".[dev]"
Dependencies and development requirements are managed via pyproject.toml.
Usage
Here’s a basic example (assumes functional API in myocardial_mesh or similar module):
from myocardial_mesh import load_mesh, attach_purkinje_network
mesh = load_mesh("data/mesh.vtk")
network = attach_purkinje_network(mesh)
network.simulate()
Versioning & Release
This project uses release-please to automate versioning and changelog generation.
Follow Conventional Commits to trigger releases.
Example commit:
feat: add new Purkinje-mesh attachment algorithm
License
This project is licensed under the terms of the MIT license.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file myocardial_mesh-0.1.1.tar.gz.
File metadata
- Download URL: myocardial_mesh-0.1.1.tar.gz
- Upload date:
- Size: 11.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0499cd01d76d2dca477e25fd46434777d35a428f1f7e05cdcfc9c88f00943616
|
|
| MD5 |
ac92223deca3b82ebea100a8772a8060
|
|
| BLAKE2b-256 |
fc578463ad03bca708e2fd8b75177e92e41eb659bccdbcec0f20fdf667933462
|
Provenance
The following attestation bundles were made for myocardial_mesh-0.1.1.tar.gz:
Publisher:
release.yml on ricardogr07/purkinje-learning-myocardial-mesh
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
myocardial_mesh-0.1.1.tar.gz -
Subject digest:
0499cd01d76d2dca477e25fd46434777d35a428f1f7e05cdcfc9c88f00943616 - Sigstore transparency entry: 310670508
- Sigstore integration time:
-
Permalink:
ricardogr07/purkinje-learning-myocardial-mesh@ffc3ae9c1c77cf61f11913f3d2eaa3e184c05e19 -
Branch / Tag:
refs/tags/v0.1.1 - Owner: https://github.com/ricardogr07
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@ffc3ae9c1c77cf61f11913f3d2eaa3e184c05e19 -
Trigger Event:
push
-
Statement type:
File details
Details for the file myocardial_mesh-0.1.1-py3-none-any.whl.
File metadata
- Download URL: myocardial_mesh-0.1.1-py3-none-any.whl
- Upload date:
- Size: 10.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f06d87a74245ae7b7fe5dc0841bada75f7cc6cadf34b2caef15b8ae791011600
|
|
| MD5 |
a57f73f57a5a6088db8ee0254ca4f933
|
|
| BLAKE2b-256 |
55522189bcc49c84a77eb12020f5a10cd5637c54524ec422d04bb0e9b3de1ffe
|
Provenance
The following attestation bundles were made for myocardial_mesh-0.1.1-py3-none-any.whl:
Publisher:
release.yml on ricardogr07/purkinje-learning-myocardial-mesh
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
myocardial_mesh-0.1.1-py3-none-any.whl -
Subject digest:
f06d87a74245ae7b7fe5dc0841bada75f7cc6cadf34b2caef15b8ae791011600 - Sigstore transparency entry: 310670518
- Sigstore integration time:
-
Permalink:
ricardogr07/purkinje-learning-myocardial-mesh@ffc3ae9c1c77cf61f11913f3d2eaa3e184c05e19 -
Branch / Tag:
refs/tags/v0.1.1 - Owner: https://github.com/ricardogr07
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
release.yml@ffc3ae9c1c77cf61f11913f3d2eaa3e184c05e19 -
Trigger Event:
push
-
Statement type: