Circadian cycles: A time-series approach


 The extraction of circadian cycles from experimental data can be interpreted as a specific case time-series or signal analysis, but chrono- biology and analysis appear to have developed according separate paths. Whereas some techniques such continuous (CWT) discrete wavelet (DWT) are used frequently in rhythmobiology, other specialized methdos digital filters, nonlinear mode decomposition (NMD), singular spectrum (SSA), empirical (EMD), ensemble (EEMD) complete model with adaptive noise (CEEMDAN) only occasionally been applied. No studies available that compare the applicability between wide variety different methods for variables, this is purpose present contribution. These improve goodness-of-fit cycle respect standard approach cosinor analysis. They additional advantage being able quantify day-to-day variability parameters mesor, amplitude, period acrophase around their average values, potential clinical applications distinguish healthy unhealthy populations. Finally, within context homeostatic regulation distinctive statistics regulated effector variables.