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- license: mit
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+ license: mit
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+ ---
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+ # Model Card for DiffuSETS
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+ ## Description
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+ <!-- Provide a longer summary of what this model is. -->
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+ - **Developed by:** Yongfan Lai
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+ - **License:** mit
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+ ### Model Sources
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+ <!-- Provide the basic links for the model. -->
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+ - **Repository:** [Github](https://github.com/Raiiyf/text2ecg)
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+ ### Assets List
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+ - `mimic_iv_text_embed.csv`: Pre saved embedding table for mimic text report.
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+ - `mimic_vae.pt` & `mimic_vae_lite.pt`: Dictionary consists of VAE encoding latents of mimic iv ecg dataset. `lite` version contains only 50 000 samples for convenience.
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+ - `unet.pth`: A trained noise predictor model checkpoints. Use both VAE latent and patient characteristc info.
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+ - `vae_model.pth`: A trained VAE model checkpoints suit for the unet model and latent datasets above.
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+ - `sample_config.json`: An example of configuration.
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+ ## Quick Uses
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+ Download the all the prerequisites into the `./prerequisites` folder, then start ECG generating through
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+ ```sh
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+ python DiffuSETS_inference.py ./prerequisites/sample_config.json
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+ ```
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+ For more details in training and inference, please refer to our [github repo page](https://github.com/Raiiyf/text2ecg)