eLocs

버전 0.1.2.1 (48.8 MB) 작성자: neuromechanist

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

https://github.com/neuromechanist/eLocs

팔로우

0.0

(0)

다운로드 수: 184

업데이트 날짜: 2023/5/12

GitHub에서 라이선스 보기

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

인용 양식

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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개발 환경: 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

GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음

버전	게시됨	릴리스 정보
0.1.2.1	2023/5/12	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	2020/9/1	Added support for digitizing using the motion capture method. See Shirazi and Huang 2019 for more information.
0.1.1	2020/1/23

이 GitHub 애드온의 문제를 보거나 보고하려면 GitHub 리포지토리로 가십시오.

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} }