Model-Driven Analysis of ECG Using Reinforcement Learning

Model-Driven Analysis of ECG Using Reinforcement Learning

Modeling is essential to better understand the generative mechanisms responsible for experimental observations gathered from complex systems. In this work, we are using such an approach to analyze the electrocardiogram (ECG). We present a systematic framework to decompose ECG signals into sums of ov...

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Bibliographic Details
Main Authors: Christian O’Reilly, Sai Durga Rithvik Oruganti, Deepa Tilwani, Jessica Bradshaw
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Bioengineering
Subjects:
ECG
modeling
reinforcement learning
lognormal
autonomic nervous system
model-driven analysis
Online Access:https://www.mdpi.com/2306-5354/10/6/696

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