https://github.com/predict-idlab/ehg-cx-detection

Detecting contractions from EHG signals
https://github.com/predict-idlab/ehg-cx-detection

Last synced: 7 months ago
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Detecting contractions from EHG signals

• Host: GitHub
• URL: https://github.com/predict-idlab/ehg-cx-detection
• Owner: predict-idlab
• License: apache-2.0
• Created: 2019-08-12T11:42:27.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2023-07-06T21:16:54.000Z (almost 3 years ago)
• Last Synced: 2025-07-07T14:40:56.820Z (10 months ago)
• Language: Jupyter Notebook
• Size: 98 MB
• Stars: 3
• Watchers: 6
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.MD
  • License: LICENSE

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README

          


# Install the requirements

Run `pip -r requirements.txt`

# Setting up the directories

## Download the required data

* Download the [Term-Preterm EHG DataSet with Tocogram](https://physionet.org/content/tpehgt/1.0.0/) and put it in a directory called `tpehgts/`

* Download the [Icelandic 16-electrode Electrohysterogram (EHG) Database](https://archive.physionet.org/pn6/ehgdb/), store it in `pn6/`

## Create an empty `output/` directory

# Running it

Set your parameters in `config.json` and run `python3 pipeline.py`. The output will be saved in the `output/` directory.