Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach

Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach

Transient increases in peripheral vasoconstriction frequently occur in obstructive sleep apnea and periodic leg movement disorder, both of which are common in sickle cell disease (SCD). These events reduce microvascular blood flow and increase the likelihood of triggering painful vaso-occlusive cris...

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Bibliographic Details
Main Authors: Yunhua Ji, Patjanaporn Chalacheva, Carol L. Rosen, Michael R. DeBaun, Thomas D. Coates, Michael C. K. Khoo
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Digital Health
Subjects:
sickle cell anemia
photoplethysmography
peripheral vasoconstriction
sleep
machine learning
vaso-occlusive crises
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2021.714741/full

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2021.714741/full

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