References
To be updated after publication.
Model Overview
This model is implemented using PyTorch and is designed to process resting 12-lead ECGs, utilizing a subset of 8 leads in the following order:
- Lead Order: I, II, V1, V2, V3, V4, V5, V6
This model was developed and tested using PyTorch version 2.0.1+cu117
Data Preprocessing
ECG signals should be preprocessed as follows:
- Sampling Rate: ECGs should be sampled at 250 Hz.
- Duration: Each ECG recording should be exactly 5 seconds long.
- Normalization: Each lead should be Z-normalized, ensuring a mean of 0 and a standard deviation of 1.
Usage
This model is intended for research purposes. Users should ensure that input data adheres to the preprocessing steps mentioned above to achieve reliable results.
Further Instructions
For detailed instructions on data preparation and model usage, please refer to the accompanying ipynb file included in the repository.
Citation
If you use this model in your research, please provide proper attribution.
