pyCGM_Single.Pipelines.filt

pyCGM_Single.Pipelines.filt(data, cutoff, Fs)

Applies a Butterworth filter.

Filt applies standard Butterworth filter to signals. Useful when filtering (x,y,z) timeseries.

Parameters

datandarray

Numpy array of signals to be filtered.

cutoffint

Desired cutoff frequency.

Fsint

Sampling frequency at which signal was acquired.

Returns

filteredndarray

Filtered data.

Examples

>>> from numpy import array, around
>>> data = array([[-1003.58, 81.00, 1522.23],
...               [-1003.50, 81.02, 1522.18],
...               [-1003.42, 81.05, 1522.13],
...               [-1003.34, 81.07, 1522.09],
...               [-1003.26, 81.09, 1522.04],
...               [-1003.17, 81.11, 1522.00],
...               [-1003.09, 81.13, 1521.97],
...               [-1003.01, 81.15, 1521.93],
...               [-1002.92, 81.17, 1521.90],
...               [-1002.84, 81.19, 1521.88],
...               [-1002.75, 81.21, 1521.85],
...               [-1002.66, 81.23, 1521.83],
...               [-1002.57, 81.25, 1521.81],
...               [-1002.49, 81.27, 1521.80],
...               [-1002.40, 81.29, 1521.79],
...               [-1002.31, 81.30, 1521.78]])
>>> cutoff = 20
>>> Fs = 120
>>> around(filt(data, cutoff, Fs), 2) 
array([[-1003.58,    81.  ,  1522.23],
       [-1003.5 ,    81.02,  1522.18],
       [-1003.42,    81.05,  1522.13],
       [-1003.34,    81.07,  1522.09],
       [-1003.26,    81.09,  1522.04],
       [-1003.17,    81.11,  1522.  ],
       [-1003.09,    81.13,  1521.97],
       [-1003.01,    81.15,  1521.93],
       [-1002.92,    81.17,  1521.9 ],
       [-1002.84,    81.19,  1521.88],
       [-1002.75,    81.21,  1521.85],
       [-1002.66,    81.23,  1521.83],
       [-1002.57,    81.25,  1521.81],
       [-1002.49,    81.27,  1521.8 ],
       [-1002.4 ,    81.29,  1521.79],
       [-1002.31,    81.3 ,  1521.78]])