cogpy.measures.temporal

Temporal signal measures.

Status

STATUS: ACTIVE Reason: General-purpose temporal characterization measures for iEEG signals. Superseded by: n/a Safe to remove: no

All functions accept arr: (…, time) and reduce over axis (default -1).

Functions

amplitude(arr, *[, axis])
deviation(arr, *[, axis])
dfa_exponent(arr, *[, axis])	Detrended Fluctuation Analysis (DFA) scaling exponent.
hjorth_complexity(arr, *[, axis])	Ratio of mobility of derivative to mobility of signal.
hjorth_mobility(arr, *[, axis])	Normalized mean frequency: sqrt(var(dx/dt) / var(x)).
hurst_exponent(arr, *[, axis])	Hurst exponent via R/S analysis.
jump_index(arr, *[, axis, robust])	max(|diff(x)|) / scale(x).
kurtosis(arr, *[, axis])
lempel_ziv(arr, *[, axis, normalize])	Lempel-Ziv complexity on binarized signal.
relative_variance(arr, *[, axis])
sample_entropy(arr, *[, axis, order, metric])	Sample Entropy (SampEn).
saturation_fraction(arr, *[, axis, eps])	Fraction of samples within eps of ADC clipping limit.
skewness(arr, *[, axis])	Asymmetry of amplitude distribution via scipy.stats.skew.
standard_deviation(arr, *[, axis])
temporal_stability(arr, *[, axis])	Coefficient of variation across the given axis.
time_derivative(arr, *[, axis])
zero_crossing_rate(arr, *[, axis])	Fraction of samples where signal changes sign.