eLocs

Versione 0.1.2.1 (48,8 MB) da neuromechanist

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

https://github.com/neuromechanist/eLocs

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Aggiornato 12 mag 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

Cita come

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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Compatibilità della release di MATLAB

Creato con R2017b

Compatibile con R2017b e release successive

Compatibilità della piattaforma

Windows macOS Linux

Categorie

Sciences > Neuroscience > Human Brain Mapping > EEG/MEG/ECoG >
Engineering > Biomedical Engineering > Biomedical Signal Processing >

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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

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione	Pubblicato	Note della release
0.1.2.1	12 mag 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 set 2020	Added support for digitizing using the motion capture method. See Shirazi and Huang 2019 for more information.
0.1.1	23 gen 2020

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.

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} }