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A PDF document authored by Sabin Gautam discusses the application of the natural visibility graph method (NVGM) to analyze non-ergodic signals, such as heartbeats, with an inverse power law index μ ranging from 1 to ∞. The study uses diffusion entropy analysis (DEA) with stripes to identify fractional Gaussian noise (FGN) contributions and reports a significant scaling δ reduction for sick patients compared to healthy ones. The file is 55.0 KB and was last updated on 2026-05-29.
The primary file format is PDF, which may contain textual analysis rather than raw data tables.