seffyvon/ecg_micresnet

12-lead ECG classification based on 1D ResNet and multi-instance classification

PhysioNet/CinC2020 entry

Implementation of <<Deep Multi-Label Multi-Instance Classification on 12-Lead ECG>> from PhysioNet/CinC2020 challenge.

For preliminary running instructions, please see here https://github.com/physionetchallenges/python-classifier-2020

https://www.cinc.org/2020/Program/accepted/95_CinCFinalPDF.pdf

Please cite this if you use our work. Thank you!

@inproceedings{feng2020deep, title={Deep Multi-Label Multi-Instance Classification on 12-Lead ECG}, author={Feng, Yingjing and Vigmond, Edward}, booktitle={2020 Computing in Cardiology}, pages={1--4}, year={2020}, organization={IEEE} }

Feng, Yingjing, and Edward Vigmond. "Deep Multi-Label Multi-Instance Classification on 12-Lead ECG." 2020 Computing in Cardiology. IEEE, 2020.

ecg_micresnet's Issues

Missing IdvSigDataset in dataset.py

When running the driver_test.py to test the trained model it have error due to not having IdvSigDataset in dataset.py.

May I know if I have used the correct code (driver_test) to test the trained model? If yes, may I know where to get the IdvSigDataset class? or what should I replace it with?