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...

Descripción completa

Detalles Bibliográficos
Autores principales: O’Reilly, Christian, Oruganti, Sai Durga Rithvik, Tilwani, Deepa, Bradshaw, Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295052/
https://www.ncbi.nlm.nih.gov/pubmed/37370627
http://dx.doi.org/10.3390/bioengineering10060696

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295052/
https://www.ncbi.nlm.nih.gov/pubmed/37370627
http://dx.doi.org/10.3390/bioengineering10060696

Ejemplares similares