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...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-10-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-73225-x |
