A novel algorithm for automated human single-lead ecg pre-annotation and beat-to-beat separation for heartbeat classification using autoencoders

HIGHLIGHTS

• who: Abdallah Benhamida and Miklos Kozlovszky from the ctoral School of Applied Informatics and Applied Mathematics, BioTech Research Center have published the article: A Novel Algorithm for Automated Human Single-Lead ECG Pre-Annotation and Beat-to-Beat Separation for Heartbeat Classification Using Autoencoders, in the Journal: Electronics 2022, 4021 of /2022/
• what: The authors propose an algorithm for and separation for heartbeat using Autoencoders. In the pre-annotation process, the authors aim to detect the R peaks to use them to separate the heartbeats, and make the prediction later using the trained Autoencoder models . . .
  

   

  

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