EEG electrode digitization with commercial virtual reality hardware
Accurate spatial co-registration of EEG electrode positions with individual head models is an important component for EEG source localization and imaging. Due to variations in head shape between individuals, this requires measurements of electrode locations in each individual. Existing hardware for...
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| Published in: | PloS one Vol. 13; no. 11; p. e0207516 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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21.11.2018
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| ISSN: | 1932-6203, 1932-6203 |
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| Abstract | Accurate spatial co-registration of EEG electrode positions with individual head models is an important component for EEG source localization and imaging. Due to variations in head shape between individuals, this requires measurements of electrode locations in each individual. Existing hardware for digitization can be accurate, but also relatively expensive. With the goal of making digitization more accessible for a range of research laboratories, we have developed an open-source software tool that can make use of less expensive consumer virtual reality hardware for EEG electrode digitization. Here we describe our developed VRDigitizer system and compare it to existing digitization solutions. Experimental evaluations were performed in a phantom head model and in 12 human subjects. In our comparison experiments, VRDigitizer was able to measure electrode positions with a mean error of 3.74 mm, compared to 1.73 mm and 2.98 mm for the commercial systems tested. |
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| AbstractList | Accurate spatial co-registration of EEG electrode positions with individual head models is an important component for EEG source localization and imaging. Due to variations in head shape between individuals, this requires measurements of electrode locations in each individual. Existing hardware for digitization can be accurate, but also relatively expensive. With the goal of making digitization more accessible for a range of research laboratories, we have developed an open-source software tool that can make use of less expensive consumer virtual reality hardware for EEG electrode digitization. Here we describe our developed VRDigitizer system and compare it to existing digitization solutions. Experimental evaluations were performed in a phantom head model and in 12 human subjects. In our comparison experiments, VRDigitizer was able to measure electrode positions with a mean error of 3.74 mm, compared to 1.73 mm and 2.98 mm for the commercial systems tested. Accurate spatial co-registration of EEG electrode positions with individual head models is an important component for EEG source localization and imaging. Due to variations in head shape between individuals, this requires measurements of electrode locations in each individual. Existing hardware for digitization can be accurate, but also relatively expensive. With the goal of making digitization more accessible for a range of research laboratories, we have developed an open-source software tool that can make use of less expensive consumer virtual reality hardware for EEG electrode digitization. Here we describe our developed VRDigitizer system and compare it to existing digitization solutions. Experimental evaluations were performed in a phantom head model and in 12 human subjects. In our comparison experiments, VRDigitizer was able to measure electrode positions with a mean error of 3.74 mm, compared to 1.73 mm and 2.98 mm for the commercial systems tested.Accurate spatial co-registration of EEG electrode positions with individual head models is an important component for EEG source localization and imaging. Due to variations in head shape between individuals, this requires measurements of electrode locations in each individual. Existing hardware for digitization can be accurate, but also relatively expensive. With the goal of making digitization more accessible for a range of research laboratories, we have developed an open-source software tool that can make use of less expensive consumer virtual reality hardware for EEG electrode digitization. Here we describe our developed VRDigitizer system and compare it to existing digitization solutions. Experimental evaluations were performed in a phantom head model and in 12 human subjects. In our comparison experiments, VRDigitizer was able to measure electrode positions with a mean error of 3.74 mm, compared to 1.73 mm and 2.98 mm for the commercial systems tested. |
| Author | Cline, Christopher C. Coogan, Christopher He, Bin |
| AuthorAffiliation | 1 Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America 2 Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States of America University of Tübingen, GERMANY |
| AuthorAffiliation_xml | – name: University of Tübingen, GERMANY – name: 1 Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America – name: 2 Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA, United States of America |
| Author_xml | – sequence: 1 givenname: Christopher C. orcidid: 0000-0003-1442-8641 surname: Cline fullname: Cline, Christopher C. – sequence: 2 givenname: Christopher surname: Coogan fullname: Coogan, Christopher – sequence: 3 givenname: Bin surname: He fullname: He, Bin |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30462691$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1080_14606925_2023_2215420 crossref_primary_10_3389_fnins_2020_594566 crossref_primary_10_3390_s23125552 crossref_primary_10_3390_signals2030024 crossref_primary_10_1111_ejn_15019 crossref_primary_10_2478_ijssis_2022_0005 crossref_primary_10_3389_fnins_2019_01159 |
| Cites_doi | 10.1109/TBME.1987.326056 10.1016/j.neulet.2013.02.028 10.1109/TBME.2015.2467312 10.1016/j.clinph.2004.12.022 10.1016/j.neucli.2007.03.002 10.1109/34.121791 10.3389/fnins.2014.00042 10.1016/0013-4694(93)90061-Y 10.1109/TBME.2011.2139210 10.1016/j.neuroimage.2017.02.076 10.1016/S0013-4694(98)00004-2 10.1016/0013-4694(91)90023-W 10.1016/0167-8760(84)90014-X 10.1155/2011/879716 10.1016/j.clinph.2004.06.001 10.1007/s10439-010-0230-0 10.1016/j.neuroimage.2016.05.064 10.3389/fnins.2017.00264 |
| ContentType | Journal Article |
| Copyright | 2018 Cline et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2018 Cline et al 2018 Cline et al |
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| SubjectTerms | Biology and Life Sciences Biomedical engineering Computer and Information Sciences Computer applications Digitization EEG Electrodes Electroencephalography Engineering Engineering and Technology Estimates Hardware Laboratories Localization Medical imaging Medicine and Health Sciences Methods Open source software Research and Analysis Methods Science Policy Sensors Software development tools Source code Virtual reality |
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| Title | EEG electrode digitization with commercial virtual reality hardware |
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