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Novel algorithms improve arrhythmia detection accuracy in insertable cardiac monitors.

Rakesh Gopinathan NairMichael M ShehataMuhammad Rizwan AfzalHarish ManyamFujian QuNima BadieFady DawoudKyungmoo RyuMichael S KatcherDhanunjaya R Lakkireddy
Published in: Journal of cardiovascular electrophysiology (2023)
The new algorithms substantially reduced false AF, pause, and tachycardia episodes while maintaining the majority of true arrhythmia episodes detected by the Abbott ICM algorithms that exist today. Implementing these algorithms in the next-generation ICM systems may lead to improved detection accuracy, in-clinic efficiency, and device battery longevity.
Keyphrases
  • machine learning
  • deep learning
  • loop mediated isothermal amplification
  • real time pcr
  • label free
  • primary care
  • atrial fibrillation
  • left ventricular
  • heart failure
  • quality improvement
  • quantum dots