pyCGM2.Signal

Detector

detectStart_fromThreshold(values, reference)
detect_cusum(x[, threshold, drift, ending, ...])	Cumulative sum algorithm (CUSUM) to detect abrupt changes in data.
detect_onset(x[, threshold, n_above, ...])	Detects onset in data based on amplitude threshold.
detect_peaks(x[, mph, mpd, threshold, edge, ...])	Detects peaks in data based on their amplitude and other features.
detect_seq(x[, value, index, min_seq, ...])	Detects indices in x of sequential data identical to a specified value.

Signal processing

arrayLowPassFiltering(valuesArray, freq[, ...])	Applies a low-pass filter to a numpy array.
downsample(array, initFreq, targetedFreq)	Downsampling a signal from an initial frequency to a targeted frequency.
enveloppe(array, fc, fa)	Obtains the envelope of a signal using a low-pass filter.
forcePlateFiltering(btkAcq[, order, fc])	Applies low-pass filtering to force plate outputs in a btkAcquisition object.
highPass(array, lowerFreq, upperFreq, fa)	Applies a Butterworth bandpass filter to the input signal.
markerFiltering(btkAcq, markers[, order, ...])	Applies low-pass filtering to specified markers in a btkAcquisition object.
rectify(array)	Rectifies a signal by taking the absolute value of each element.
remove50hz(array, fa)	Removes the 50Hz frequency component from the provided signal array.