Algorithmic localization of high-density EEG electrode positions using motion capture.

ABSTRACT:

Background

Accurate source localization from electroencephalography (EEG) requires electrode co-registration to brain anatomy, a process that depends on precise measurement of 3D scalp locations. Stylus digitizers and camera-based scanners for such measurements require the subject to remain still and therefore are not ideal for young children or those with movement disorders.

New method

Motion capture accurately measures electrode position in one frame but marker placement adds significant setup time, particularly in high-density EEG. We developed an algorithm, named MoLo and implemented as an open-source MATLAB toolbox, to compute 3D electrode coordinates from a subset of positions measured in motion capture using spline interpolation. Algorithm accuracy was evaluated acros

SUBMITTER: Hirth LN 

PROVIDER: S-EPMC9677341 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature