What is it about?
A new predictive methodology of diagnosis aid of cardiac dynamic was developed from dynamical systems theory, probability and entropy, allowing to differentiate normal states from pathological ones, and also allowing the quantification of evolution between normality and disease. Mathematical characteristics of this methodology and its simplicity may indicatean easy automation in the future.
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Why is it important?
The diagnostic and predictive capability of methodology for normal and pathological dynamics, showing new predictive algorithms for Holters
Perspectives
Working abour monitoring tool for daily clinical practice that may contribute in decision-making on specific therapeutic interventions.
Prof LEONARDO JUAN RAMIREZ LOPEZ
Universidad Militar Nueva Granada
Read the Original
This page is a summary of: Cardiac dynamic assessment through entropy proportions and probability, January 2017, Springer Science + Business Media,
DOI: 10.1007/978-981-10-4086-3_39.
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