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Synapse
May 3, 2024

Interpreting Deviant Heart Patterns: Applying MobileNet CNN Autoencoder for ECG Anomaly Detection

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Authors

MAMuskan AgarwalKGKanwarpartap Singh GillNTNitin Thapliyal

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Cite This Study

Agarwal et al. (2024) studied this question.

synapsesocial.com/papers/68e6bbd2b6db64358763c731https://doi.org/10.1109/icsses62373.2024.10561435
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Enhancing Cardiac Anomaly Detection through Deep Learning Autoencoder: An In-Depth Analysis Using the PTB Diagnostic ECG Database2024 · 1 citations
  2. 2Anomaly Detection in ECG using Deep Learning2024 · 7 citations
  3. 3Classification of ECG Signals Encrypted with CNN Based Autoencoder with LSTM2024 · 8 citations
  4. 4Unlocking Insights: Autoencoder-Enhanced ECG Anomaly Detection using RMSProp2024
  5. 5Cardiac Health Assessment through Advanced Computational Models for ECG Image Analysis2024