pobm package

• pobm.obm package
  • pobm.obm.burden
  • pobm.obm.complex
  • pobm.obm.desat
  • pobm.obm.general
  • pobm.obm.periodicity
  • Module contents

pobm.prep

pobm.prep.set_range(signal, Range_min=50, Range_max=100)

Range function. Remove values lower than Range_min or greater than Range_max, considered as non-physiological

Parameters

• signal – 1-d array, of shape (N,) where N is the length of the signal

• Range_min (int, optional) – minimum value for removing the data

• Range_max (int, optional) – maximum value for removing the data

Returns

preprocessed signal, 1-d numpy array.

pobm.prep.resamp_spo2(signal, OriginalFreq)

Resample the SpO2 signal to 1Hz. Assumption: any missing/abnormal values are represented as ‘np.nan’

Parameters

• signal – 1-d array, of shape (N,) where N is the length of the signal

• OriginalFreq – the original frequency.

Returns

resampled signal, 1-d numpy array, the resampled spo2 time series at 1Hz

pobm.prep.dfilter(signal, Diff=4)

Apply Delta Filter to the signal.

Parameters

• signal – 1-d array, of shape (N,) where N is the length of the signal

• Diff (int, optional) – parameter of the delta filter.

Returns

preprocessed signal, 1-d numpy array.

pobm.prep.median_spo2(signal, FilterLength=9)

Apply a median filter to the SpO2 signal. Median filter used to smooth the spo2 time series and avoid sporadic increase/decrease of spo2 which could affect the detection of the desaturations. Assumption: any missing/abnormal values are represented as ‘np.nan’

Parameters

• signal – 1-d array, of shape (N,) where N is the length of the signal

• FilterLength (int, optional) – The length of the filter.

Returns

preprocessed signal, 1-d numpy array.

pobm.prep.block_data(signal, treshold=50)

Apply a block data filter to the SpO2 signal.

Parameters

• signal – 1-d array, of shape (N,) where N is the length of the signal

• treshold (int, optional) – treshold parameter for block data filter.

Returns

preprocessed signal, 1-d numpy array.

Module contents