eLocs

Versión 0.1.2.1 (48,8 MB) por neuromechanist

Functions to digitize EEG electrode locations (eLocs) using 3D scanners and motion capture

https://github.com/neuromechanist/eLocs

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Actualizado 12 may 2023

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This package provides functions for localizing EEG electrode locations using 3D scanners or motion capture system. Two 3D scans are provided as samples.

The code was tested for MATLAB R2018a+ and requires Statistics and Neural Network Toolbox.
Tested Scanners are Occipital Structure scanner Mark I, and EinScan Shining Pro+.
Tested motion capture was OptiTrack with a digitizing probe.
For further information see: https://doi.org/10.3389/fnins.2019.01159

Citar como

Shirazi, Seyed Yahya, and Helen J. Huang. “More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas.” Frontiers in Neuroscience, vol. 13, Frontiers Media SA, Nov. 2019, doi:10.3389/fnins.2019.01159.

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Compatibilidad con la versión de MATLAB

Se creó con R2017b

Compatible con cualquier versión desde R2017b

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code

dependencies/fieldtrip-20180201

dependencies/fieldtrip-20180201/@config

dependencies/fieldtrip-20180201/@config/private

dependencies/fieldtrip-20180201/contrib/spike

ft_spike_maketrials

dependencies/fieldtrip-20180201/external/fileexchange

dependencies/fieldtrip-20180201/external/signal

dependencies/fieldtrip-20180201/external/signal/private

dependencies/fieldtrip-20180201/external/stats

dependencies/fieldtrip-20180201/fileio

dependencies/fieldtrip-20180201/fileio/private

dependencies/fieldtrip-20180201/forward

dependencies/fieldtrip-20180201/forward/private

dependencies/fieldtrip-20180201/plotting

dependencies/fieldtrip-20180201/plotting/private

dependencies/fieldtrip-20180201/preproc

dependencies/fieldtrip-20180201/preproc/private

dependencies/fieldtrip-20180201/private

dependencies/fieldtrip-20180201/utilities

dependencies/fieldtrip-20180201/utilities/private

private

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Versión	Publicado	Notas de la versión
0.1.2.1	12 may 2023	Fixed a minor bug regarding channel labels. Check the commit for the details. Thanks to Anna McGough for pointing out the problem.
0.1.2	1 sep 2020	Added support for digitizing using the motion capture method. See Shirazi and Huang 2019 for more information.
0.1.1	23 ene 2020

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.

MLA	Shirazi, Seyed Yahya, and Helen J. Huang. “More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas.” Frontiers in Neuroscience, vol. 13, Frontiers Media SA, Nov. 2019, doi:10.3389/fnins.2019.01159.
APA	Shirazi, S. Y., & Huang, H. J. (2019). More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas. Frontiers in Neuroscience, 13. Frontiers Media SA. Retrieved from https://doi.org/10.3389%2Ffnins.2019.01159
BibTeX	@article{Shirazi_2019, doi = {10.3389/fnins.2019.01159}, url = {https://doi.org/10.3389%2Ffnins.2019.01159}, year = 2019, month = {nov}, publisher = {Frontiers Media {SA}}, volume = {13}, author = {Seyed Yahya Shirazi and Helen J. Huang}, title = {More Reliable {EEG} Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas}, journal = {Frontiers in Neuroscience} }