mne_features.univariate.compute_app_entropy¶

mne_features.univariate.compute_app_entropy(data, emb=2, metric='chebyshev')¶

Approximate Entropy (AppEn, per channel).

Parameters

datandarray, shape (n_channels, n_times)

embint (default: 2)

Embedding dimension.

metricstr (default: chebyshev)

Name of the metric function used with KDTree. The list of available metric functions is given by: KDTree.valid_metrics.

Returns

outputndarray, shape (n_channels,)

Notes

Alias of the feature function: app_entropy. See [1].

References

1

Richman, J. S. et al. (2000). Physiological time-series analysis using approximate entropy and sample entropy. American Journal of Physiology-Heart and Circulatory Physiology, 278(6), H2039-H2049.