Improved U-Net Model to Estimate Cardiac Output Based on Photoplethysmography and Arterial Pressure Waveform

Improved U-Net Model to Estimate Cardiac Output Based on Photoplethysmography and Arterial Pressure Waveform

We aimed to estimate cardiac output (CO) from photoplethysmography (PPG) and the arterial pressure waveform (ART) using a deep learning approach, which is minimally invasive, does not require patient demographic information, and is operator-independent, eliminating the need to artificially extract a...

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Bibliographic Details
Main Authors: Xichen Xu, Qunfeng Tang, Zhencheng Chen
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
cardiac output
photoplethysmography
arterial pressure waveform
minimally invasive
U-Net
deep learning model
Online Access:https://www.mdpi.com/1424-8220/23/22/9057

Internet

https://www.mdpi.com/1424-8220/23/22/9057

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