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DeepBeat: Multi-task deep learning for cardiac rhythm detection in wearable devices





  
  

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DeepBeat is a deep learning model for





  
  

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  1) classification of Atrial Fibrillation (AF) from photoplethysmography (PPG) signals and 





  
  

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  2) signal quality estimation  





  
  

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Dataset





  
  

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We share a deidentified train, validate and test partition that were used for training DeepBeat. These deidentified signal are shared with a non-commerical data use agreement and can be found at synapase, ID:syn21985690.





  
  

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Examples





  
  

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We have included juypter notebooks and trained models for reproduciblility.