MoLo (More Locations): EEG Electrode Interpolation Algorithm

Version 1.0.1 (185 KB) by Lauren Hirth
This algorithm uses spline interpolation to compute 3D EEG electrode coordinates from a subset of previously-measured positions.
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Updated 25 Aug 2020

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EEG electrode localization may limit valuable time for data collection and is burdensome on both researcher and patient, particularly in high-density EEG (32-128 channels). We developed an algorithm, named MoLo, to compute 3D electrode coordinates from a subset of positions using spline interpolation. MoLo location accuracy is comparable to stylus digitizers and camera-scanners, common in clinical research. The algorithm is particularly useful for research involving young children and others who cannot remain still for extended time periods.

Cite As

Lauren N. Hirth, Christopher J. Stanley, Diane L. Damiano, Thomas C. Bulea. (in press). Algorithmic localization of high-density EEG electrode positions using motion capture. Journal of Neuroscience Methods.

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.1

Updated citation to include corresponding in press journal article

1.0.0