Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis

Abstract Comparing time series of unequal length requires data processing procedures that may introduce biases. This article describes, validates, and applies Cross-Recurrence Quantification Analysis (CRQA) to detect and quantify correlation and coupling among time series of unequal length without p...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Henning Johannes Drews, Flavia Felletti, Håvard Kallestad, Annika Drews, Jan Scott, Trond Sand, Morten Engstrøm, Hanne Siri Amdahl Heglum, Daniel Vethe, Øyvind Salvesen, Knut Langsrud, Gunnar Morken, Sebastian Wallot
Format: Article
Language:English
Published: Nature Portfolio 2024-10-01
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Online Access:https://doi.org/10.1038/s41598-024-73225-x