Hemodialysis Efficiency Predictor in End-Stage Kidney Disease Using Real-Time Heart Rate Variability

Hemodialysis Efficiency Predictor in End-Stage Kidney Disease Using Real-Time Heart Rate Variability

Background: Autonomic dysfunction as a long-term complication may occur in end-stage kidney disease (ESKD) patients and can be diagnosed using heart rate variability (HRV) analyzed from electrocardiogram (ECG) recordings. There is limited data about HRV using real-time ECG to predict hemodialysis (H...

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Bibliographic Details
Main Authors: Sung Il Im, Ye Na Kim, Hyun Su Kim, Soo Jin Kim, Su Hyun Bae, Bong Joon Kim, Jung Ho Heo, Yeonsoon Jung, Hark Rim, Sung Pil Cho, Jung Hwan Park, Ho Sik Shin
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Biomedicines
Subjects:
predictors of hemodialysis
heart rate variability
Online Access:https://www.mdpi.com/2227-9059/12/3/474

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https://www.mdpi.com/2227-9059/12/3/474

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