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StimArtifact

Namespace: RTPROCESSINGLIB  ·  Library: DSP Library

Module

This page documents a header-level module — a collection of free functions that share an algorithmic topic. There is no enclosing C++ class; the functions live directly in the library namespace.

Python equivalent

mne.preprocessing.fix_stim_artifact in MNE-Python.

#include <dsp/stim_artifact.h>

SPDX-License-Identifier: BSD-3-Clause Copyright (c) 2026 MNE-CPP Authors.

Repairs stimulus artifacts in continuous data by replacing samples in a window around each stimulus event with either linearly interpolated values (from the window boundaries) or zeros. This mirrors the functionality of MNE-Python's mne.preprocessing.fix_stim_artifact().

Functions​

fixStimArtifact(data, events, sfreq, eventId, tmin, tmax, mode)​

void fixStimArtifact(Eigen::MatrixXd & data, const Eigen::MatrixXi & events, double sfreq, int eventId, double tmin, double tmax, StimArtifactMode mode);

Repair stimulus artifacts by interpolating or zeroing data around events.

For each event sample, the data in the window [event + tmin_samples, event + tmax_samples] is either linearly interpolated from the boundary values or set to zero.

Parameters:

  • data : Eigen::MatrixXd & Data matrix (n_channels x n_times). Modified in-place.

  • events : const Eigen::MatrixXi & Event matrix (Nx3: [sample, before, after]). Only the sample column (col 0) is used to locate artifact windows.

  • sfreq : double Sampling frequency in Hz.

  • eventId : int If >= 0, only process events where column 2 (after) matches this value. If < 0, process all events. Default: -1.

  • tmin : double Start of artifact window in seconds relative to event (negative = before event). Default: 0.0 (event onset).

  • tmax : double End of artifact window in seconds relative to event. Default: 0.01 (10 ms after event).

  • mode : StimArtifactMode Repair mode (Linear interpolation or zero-padding). Default: StimArtifactMode::Linear.

Authors of this file​