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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.
General Information
- Version 1.0.1 (185 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
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| 1.0.1 | Updated citation to include corresponding in press journal article |
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| 1.0.0 |
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