Predicting Adverse Events During Six-Minute Walk Test Using Continuous Physiological Signals

Predicting Adverse Events During Six-Minute Walk Test Using Continuous Physiological Signals

Background and Objective: The 6-min walk test (6MWT) is a common functional assessment test, but adverse events during the test can be potentially dangerous and can lead to serious consequences and low quality of life. This study aimed to predict the occurrence of adverse events during 6MWT, using c...

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Bibliographic Details
Main Authors: Jiachen Wang, Yaning Zang, Qian Wu, Yingjia She, Haoran Xu, Jian Zhang, Shan Cai, Yuzhu Li, Zhengbo Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Physiology
Subjects:
6-min walk test
adverse events
machine learning
wearable devices
physiological signals
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.887954/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.887954/full

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