Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes

Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes

Heart-rate variability has proved a valid tool in prognosis definition of patients with congestive heart failure (CHF). Previous research has documented Poincaré plot analysis as a valuable approach to study heart-rate variability performance among different subjects. In this paper, we explored the...

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Bibliographic Details
Main Authors: Giovanni D’Addio, Leandro Donisi, Giuseppe Cesarelli, Federica Amitrano, Armando Coccia, Maria Teresa La Rovere, Carlo Ricciardi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Bioengineering
Subjects:
congestive heart failure
heart-rate variability
machine learning
NYHA classification
Poincaré plot analysis
Online Access:https://www.mdpi.com/2306-5354/8/10/138

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https://www.mdpi.com/2306-5354/8/10/138

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