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Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features.

Joon-Myoung KwonKyung Hee KimHoward J EisenYounghoon ChoKi Hyun JeonSoo Youn LeeJinsik ParkByung-Hee Oh
Published in: European heart journal. Digital health (2020)
The DLM demonstrated high performance for HFpEF detection using not only a 12-lead ECG but also 6- single-lead ECG. These results suggest that HFpEF can be screened using conventional ECG devices and diverse life-type ECG machines employing the DLM, thereby preventing disease progression.
Keyphrases
  • artificial intelligence
  • heart rate variability
  • heart rate
  • machine learning
  • big data
  • deep learning
  • left ventricular
  • heart failure
  • label free
  • left atrial