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Clone the repository | ||
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``` | ||
git clone [email protected]:awni/ecg.git | ||
git clone [email protected]:manideep2510/ECG-acquisition-classification.git | ||
``` | ||
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If you don't have `virtualenv`, install it with | ||
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``` | ||
pip install virtualenv | ||
``` | ||
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Make and activate a new Python 2.7 environment | ||
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``` | ||
virtualenv -p python2.7 ecg_env | ||
source ecg_env/bin/activate | ||
``` | ||
**Python 3.5 or higher is required to run the code. To test the code the with the pretrained models, Python 3.5 is the only one it supports** | ||
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Install the requirements (this may take a few minutes). | ||
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@@ -65,6 +54,8 @@ python ecg/predict.py <dataset>.json <model>.hdf5 | |
replacing `<dataset>` with an actual path to the dataset and `<model>` with the | ||
path to the model. | ||
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**This work and code is developed by the awsome team of Awni et al, StanfordML Group.** | ||
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## Citation and Reference | ||
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This work is published in the following paper in *Nature Medicine* | ||
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