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Developing a personalized remote patient monitoring algorithm: a proof-of-concept in heart failure.

Mehran MoazeniLieke NumanMaaike BronsJaco HoutgraafFrans H RuttenDaniel L OberskiLinda W Van LaakeFolkert W. AsselbergsEmmeke Aarts
Published in: European heart journal. Digital health (2023)
The personalized algorithm with flexible patient-tailored thresholds led to higher PPV, and performance was more sensitive compared to common simple monitoring methods (rule-of-thumb and MACD). However, many episodes of worsening HF remained undetected. Heart rate and systolic blood pressure monitoring outperformed bodyweight in predicting worsening HF. The algorithm source code is publicly available for future validation and improvement.
Keyphrases
  • heart rate
  • blood pressure
  • heart failure
  • machine learning
  • heart rate variability
  • deep learning
  • case report
  • acute heart failure
  • hypertensive patients
  • left ventricular
  • type diabetes
  • atrial fibrillation
  • weight loss