Development of Machine Learning Model for VO<sub>2max</sub> Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection Candidates

Development of Machine Learning Model for VO<sub>2max</sub> Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection Candidates

A cardiopulmonary exercise test (CPET) is essential for lung resection. However, performing a CPET can be challenging. This study aimed to develop a machine learning model to estimate maximal oxygen consumption (VO<sub>2max</sub>) using data collected through a patch-type single-lead ele...

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Bibliographic Details
Main Authors: Hyun Ah Lee, Woosik Yu, Jong Doo Choi, Young-sin Lee, Ji Won Park, Yun Jung Jung, Seung Soo Sheen, Junho Jung, Seokjin Haam, Sang Hun Kim, Ji Eun Park
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Healthcare
Subjects:
maximal oxygen consumption (VO<sub>2max</sub>)
cardiopulmonary exercise test (CPET)
machine learning model
estimation
lung resection candidates
Online Access:https://www.mdpi.com/2227-9032/11/21/2863

Internet

https://www.mdpi.com/2227-9032/11/21/2863

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