mne_hfo.utils.compute_line_length

mne_hfo.utils.compute_line_length(signal, win_size=6)

Calculate line length.

See [1] and [2].

Parameters:

signalnumpy array

1D signal to be transformed.

win_sizeint

Number of the points of the window (default=6).

Returns:

line_length: numpy array

Line length transformed signal.

Notes

return np.mean(np.abs(np.diff(data, axis=-1)), axis=-1)

References

[1]

Rosana Esteller, Javier Echauz, T Tcheng, Brian Litt, and Benjamin Pless. Line length: an efficient feature for seizure onset detection. In 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, volume 2, 1707–1710. IEEE, 2001.

[2]

Matthias Dümpelmann, Julia Jacobs, Karolin Kerber, and Andreas Schulze-Bonhage. Automatic 80–250 hz “ripple” high frequency oscillation detection in invasive subdural grid and strip recordings in epilepsy by a radial basis function neural network. Clinical Neurophysiology, 123(9):1721–1731, 2012. doi:10.1016/j.clinph.2012.02.072.