LIDS class

class pyActigraphy.analysis.LIDS(lids_func='lids', fit_func='cosine', fit_obj_func='residuals', fit_params=None)

Class for Locomotor inactivity during sleep (LIDS) Analysis

Winnebeck, E. C., Fischer, D., Leise, T., & Roenneberg, T. (2018). Dynamics and Ultradian Structure of Human Sleep in Real Life. Current Biology, 28(1), 49–59.e5. http://doi.org/10.1016/j.cub.2017.11.063

Attributes

freq	Sampling frequency of the LIDS transformed data
lids_func	LIDS transformation function
lids_fit_func	Fit function to LIDS oscillations
lids_fit_initial_params	Initial parameters of the fit function to LIDS oscillations
lids_fit_results	Results of the LIDS fit

Methods

filter(ts[, duration_min, duration_max])	Filter data according to their duration
lids_transform(ts[, method, win_td, ...])	Apply LIDS transformation to activity data
lids_fit(lids[, method, scan_period, ...])	Fit oscillations of the LIDS data
lids_pearson_r(lids[, params])	Pearson correlation factor
lids_mri(lids[, params])	Munich Rhythmicity Index
lids_period([freq])	LIDS period
lids_phases(lids[, step])	LIDS onset and offset phases in degrees
lids_convert_to_internal_time(lids[, t_norm])	Convert LIDS data index to internal time.
lids_summary(lids[, verbose])	Calculate summary statistics for LIDS