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Recurrence Quantification Analysis: A Promising Method for Data Evaluation in Medicine

Author(s): Jakub Schlenker, Tomáš Nedělka, Lucie Riedlbauchová, Vladimír Socha, Karel Hána, Patrik Kutílek

Introduction: This paper describes principles of a promising method for medical data analysis called recurrence analysis, which is based on the chaos theory that better describes processes in the living organisms.

Methods: Phase space reconstruction and recurrence analysis are explained in brief. The main part of the work focuses on recurrence plot, which is a basic tool for recurrence analysis.

Conclusion: Possible clinical applications of recurrence analysis in the field of medicine are discussed and a short overview of pilot projects performed by our team on this topic is given.


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