Development and Validation of an Arterial Pressure-Based Cardiac Output Algorithm Using a Convolutional Neural Network: Retrospective Study Based on Prospective Registry Data.

ABSTRACT:

Background

Arterial pressure-based cardiac output (APCO) is a less invasive method for estimating cardiac output without concerns about complications from the pulmonary artery catheter (PAC). However, inaccuracies of currently available APCO devices have been reported. Improvements to the algorithm by researchers are impossible, as only a subset of the algorithm has been released.

Objective

In this study, an open-source algorithm was developed and validated using a convolutional neural network and a transfer learning technique.

Methods

A retrospective study was performed using data from a prospective cohort registry of intraoperative bio-signal data from a university hospital. The convolutional neural network model was trained using the arterial pressure waveform as i

SUBMITTER: Yang HL 

PROVIDER: S-EPMC8406105 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature