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Automated detection of atrial fibrillation based on vocal features analysis.

Gregory GolovchinerMichael GliksonMoshe SwissaYaron SelaAryeh AbelowOlga MorelliAmir Beker
Published in: Journal of cardiovascular electrophysiology (2022)
This study is the first report to demonstrate feasibility and reliability of the identification of AF episodes using voice analysis with acceptable accuracy, within the identified limitations of our study methods. The developed AF indicator has higher accuracy using the "Ahh" syllable versus "Ohh."
Keyphrases
  • atrial fibrillation
  • heart failure
  • machine learning
  • deep learning
  • left atrial
  • high throughput
  • catheter ablation
  • direct oral anticoagulants