Assessing Cardiac Flow Measurements Using a Noninvasive Photoplethysmography-Based Device Compared to Invasive Pulmonary Artery Catheter.

Dean Nachman¹, Arik Eisenkraft², Eldad Rahamim³, Mahsati Ibrahimli³, Asen Asenov³, Nir Goldstein⁴, Yotam Kolben³, Segev Huly³, Arik Ben Ishay⁴, Meir Fons⁴, Michael Tabi⁴, Roei Merin⁴, Offer Amir³, Rabea Asleh⁵

¹Heart Institute, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; Institute for Research in Military Medicine, Faculty of Medicine, The Hebrew University of Jerusalem and the Israel Defense Force Medical Corps, Petah Tikva, Israel.

²Institute for Research in Military Medicine, Faculty of Medicine, The Hebrew University of Jerusalem and the Israel Defense Force Medical Corps, Petah Tikva, Israel. Electronic address: Aizenkra@gmail.com.

³Heart Institute, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

⁴Biobeat Technologies Ltd, Petah Tikva, Israel.

⁵Heart Institute, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. Electronic address: Rasleh@hadassah.org.il.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Invasive monitoring is considered the gold standard for hemodynamic monitoring, yet it poses inherent risks. OBJECTIVES: The aim of the study was to compare invasive hemodynamic measurements using a noninvasive wearable photoplethysmography-based (PPG) monitor and an invasive pulmonary artery catheter. METHODS: Heart failure patients undergoing right heart catheterization were recrui…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.