Literature DB >> 21097050

3D handheld laser scanner based approach for automatic identification and localization of EEG sensors.

Laurent Koessler1, Thierry Cecchin, Eric Ternisien, Louis Maillard.   

Abstract

This paper describes and assesses for the first time the use of a handheld 3D laser scanner for scalp EEG sensor localization and co-registration with magnetic resonance images. Study on five subjects showed that the scanner had an equivalent accuracy, a better repeatability, and was faster than the reference electromagnetic digitizer. According to electrical source imaging, somatosensory evoked potentials experiments validated its ability to give precise sensor localization. With our automatic labeling method, the data provided by the scanner could be directly introduced in the source localization studies.

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Year:  2010        PMID: 21097050     DOI: 10.1109/IEMBS.2010.5627659

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  3 in total

1.  Methodological aspects of EEG and body dynamics measurements during motion.

Authors:  Pedro M R Reis; Felix Hebenstreit; Florian Gabsteiger; Vinzenz von Tscharner; Matthias Lochmann
Journal:  Front Hum Neurosci       Date:  2014-03-24       Impact factor: 3.169

2.  Requirements for Coregistration Accuracy in On-Scalp MEG.

Authors:  Rasmus Zetter; Joonas Iivanainen; Matti Stenroos; Lauri Parkkonen
Journal:  Brain Topogr       Date:  2018-06-22       Impact factor: 3.020

3.  More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas.

Authors:  Seyed Yahya Shirazi; Helen J Huang
Journal:  Front Neurosci       Date:  2019-11-06       Impact factor: 4.677

  3 in total

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