resurfemg.preprocessing.pneumatic module¶
Copyright 2022 Netherlands eScience Center and University of Twente Licensed under the Apache License, version 2.0. See LICENSE for details.
This file contains functions for processing pneumatic data.
- volume_computation(t, flow, fs, zc_idxs, method)¶
Function to compute the volume signal from the flow signal. The volume signal is computed by integrating the flow signal. The volume signal is then baseline corrected using the end-expiratory samples. The end- expiratory samples are selected around the zero crossings of the flow signal. The baseline correction method can be set to “Last point”, “Last points” or “Mask”. The “Last point” option uses the zero crossing only. “Last points” uses the samples up to 0.1 seconds before the zero crossing. “Mask” selects the samples where the flow signal is below 0.01 L/s and the raw volume signal is below 0.1 L. :param t: The time vector. :type t: ~numpy.ndarray :param flow: The flow signal. :type flow: ~numpy.ndarray :param fs: The sampling frequency. :type fs: float :param zc_idxs: The zero crossing indices. :type zc_idxs: ~numpy.ndarray :param method: The baseline correction method. :type method: str
- zero_cros_flow(flow, flow_threshold=0.3)¶
Function to find the onset of inspiratory,i.e., positive, flow in the flow signal. Flow onsets are defined as the points where the flow signal crosses the zero line to become positive and the flow signal reaches above the flow_threshold during the breath. :param flow: The flow signal. :type flow: ~numpy.ndarray :param flow_threshold: The threshold for the flow signal. :type flow_threshold: float
