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

ABSTRACT:

Aims

Non-invasive remote patient monitoring is an increasingly popular technique to aid clinicians in the early detection of worsening heart failure (HF) alongside regular follow-ups. However, previous studies have shown mixed results in the performance of such systems. Therefore, we developed and evaluated a personalized monitoring algorithm aimed at increasing positive-predictive-value (PPV) (i.e. alarm quality) and compared performance with simple rule-of-thumb and moving average convergence-divergence algorithms (MACD).

Methods and results

In this proof-of-concept study, the developed algorithm was applied to retrospective data of daily bodyweight, heart rate, and systolic blood pressure of 74 HF-patients with a median observation period of 327 days (IQR: 183 days), duri

SUBMITTER: Moazeni M 

PROVIDER: S-EPMC10689918 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature