pyActigraphy.analysis.LIDS.lids_transform

LIDS.lids_transform(ts, method='mva', win_td='30min', resampling_freq=None)

Apply LIDS transformation to activity data

This transformation comprises:

• resampling via summation (optional)

• non-linear LIDS transformation

• smoothing with a centered moving average

Parameters

• ts (pandas.Series) – Data identified as locomotor activity during sleep.

• method (str, optional) –

  Method to smooth the data. Available options are:

  • ’mva’: moving average

  • ’kernel’: gaussian kernel

  • ’none’: no smoothing

  Default is ‘mva’.

• win_td (str, optional) – Size of the moving average window. Default is ‘30min’.

• resampling_freq (str, optional) – Frequency of the resampling applied prior to LIDS transformation. Default is None.

Returns

smooth_lids

Return type

pandas.Series