skdh.activity.metric_hfenplus

skdh.activity.metric_hfenplus(accel, wlen, fs, cutoff=0.2, trim_zero=True, **kwargs)

Compute the high-pass filtered euclidean norm plus the low-pass filtered euclidean norm minus 1g.

Parameters:

accelnumpy.ndarray

(N, 3) array of acceleration values in g.

wlenint

Window length (in number of samples) for non-overlapping windows.

fsfloat

Sampling frequency of accel in Hz.

cutofffloat, optional

Cutoff in Hz for both high and low filters. Default is 0.2Hz.

trim_zerobool, optional

Trim values to no less than 0. Default is True.

Returns:

hfenpnumpy.ndarray

(N, ) array of high-pass filtered acceleration norm added to the low-pass filtered norm minus 1g.