Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram

Predicting Dysglycemia in Patients with Diabetes Using Electrocardiogram

<b>Background:</b> In this study, we explored the potential of predicting dysglycemia in patients who need to continuously manage blood glucose levels using a non-invasive method via electrocardiography (ECG). <b>Methods</b>: The data were collected from patients with diabete...

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Bibliographic Details
Main Authors: Ho-Jung Song, Ju-Hyuck Han, Sung-Pil Cho, Sung-Il Im, Yong-Suk Kim, Jong-Uk Park
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
electrocardiogram
dysglycemia
heart rate variability
blood glucose
non-invasive blood glucose monitoring
artificial intelligence model
Online Access:https://www.mdpi.com/2075-4418/14/22/2489
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https://www.mdpi.com/2075-4418/14/22/2489

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