bad_channel_detect.h File Reference

Declaration of BadChannelDetect — automated detection of bad MEG/EEG channels. More...

#include "dsp_global.h"
#include <Eigen/Core>
#include <QVector>

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Classes
struct	UTILSLIB::BadChannelDetectParams
	Bad-channel detection parameters (defined outside class to avoid Clang/GCC default-argument issues with nested structs). More...
class	UTILSLIB::BadChannelDetect
	Automated detection of bad MEG/EEG channels using flat, variance, and correlation criteria. More...

Namespaces
namespace	UTILSLIB
	Shared utilities (I/O helpers, spectral analysis, layout management, warp algorithms).

Detailed Description

Declaration of BadChannelDetect — automated detection of bad MEG/EEG channels.

Author

Christoph Dinh chris.nosp@m.toph.nosp@m..dinh.nosp@m.@mne.nosp@m.-cpp..nosp@m.org

Since

2.0.0

Date

March, 2026

LICENSE

Copyright (C) 2026, Christoph Dinh. All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
• Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
• Neither the name of MNE-CPP authors nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Three complementary detection strategies are provided:

1. Flat signal — channels whose peak-to-peak amplitude is below a minimum threshold over the whole segment (disconnected electrode, saturated ADC stuck at rail, etc.).
2. High variance — channels whose standard deviation is more than dZThresh standard deviations above the median across channels (muscle artefact, loose connection, large drift).
3. Low correlation — channels that correlate poorly with their neighbours in the channel list. A bad channel appears isolated: its Pearson correlation with the surrounding ±iNeighbours channels is below dCorrThresh. This catches channels with coherent but spurious signals that pass the variance test.

The three detectors can be run independently or combined via detect() which applies all three and returns the union of bad channel row indices.

Definition in file bad_channel_detect.h.