Science Score: 44.0%
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
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.4%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: Detecting-Simulated-Real-ECG-Signals
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Size: 9.77 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Preprocessing of ECG signals
Package to preprocess ECG signals. Preprocessing contains various filters and scaling methods.
Build package
This package is not yet available via a pip repository server. Therefor you have to clone this repository and build it yourself.
To build the repository you can use the pip package 'build'
console
pip install build
and build the package with python -m build. The results of the build process are within the folder /dist. You can install this local package with pip:
console
pip install /path/to/repository/dist/defibrillator_preprocessing-X.X.X-py3-none-any.whl
Use it
The module data_cleaning contains methods to remove baseline wandering by a simple high-pass filter (def butterworth_filtering), baseline and offset wandering by a polynomial fitter manner (def polynomial_remove_offset_and_baseline_wandering) and a method to remove mains noise (def remove_mains_noise)
The module Preprocessing combines the data_cleaning methods into a single function. You have to define which filters and filter parameters you want to use.
signal_scaling can be used to scale the mission recordings by percentile, max and threshold.
Owner
- Name: Detecting Real and Simulated ECG Signals
- Login: Detecting-Simulated-Real-ECG-Signals
- Kind: organization
- Repositories: 1
- Profile: https://github.com/Detecting-Simulated-Real-ECG-Signals
Citation (CITATION.cff)
cff-version: 1.2.0
message: If you use this software, please cite it as below.
authors:
- family-names: Brücklmayr
given-names: Markus
title: Preprocessing of ECG signals
version: 1.0.0
type: software
date-released: 2024-12-01
license: BSD-3-Clause
repository-code: https://github.com/Detecting-Simulated-Real-ECG-Signals/Preprocessing/tree/main