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Multimodal Spatial Calibration for Accurately Registering EEG Sensor Positions
Joint Authors
Zhang, Jianhua
Li, Xiao-Li
Xiao, Gang
Chen, Jian
Chen, Sheng-yong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper proposes a fast and accurate calibration method to calibrate multiple multimodal sensors using a novel photogrammetry system for fast localization of EEG sensors.
The EEG sensors are placed on human head and multimodal sensors are installed around the head to simultaneously obtain all EEG sensor positions.
A multiple views’ calibration process is implemented to obtain the transformations of multiple views.
We first develop an efficient local repair algorithm to improve the depth map, and then a special calibration body is designed.
Based on them, accurate and robust calibration results can be achieved.
We evaluate the proposed method by corners of a chessboard calibration plate.
Experimental results demonstrate that the proposed method can achieve good performance, which can be further applied to EEG source localization applications on human brain.
American Psychological Association (APA)
Zhang, Jianhua& Chen, Jian& Chen, Sheng-yong& Xiao, Gang& Li, Xiao-Li. 2014. Multimodal Spatial Calibration for Accurately Registering EEG Sensor Positions. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-501180
Modern Language Association (MLA)
Zhang, Jianhua…[et al.]. Multimodal Spatial Calibration for Accurately Registering EEG Sensor Positions. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-501180
American Medical Association (AMA)
Zhang, Jianhua& Chen, Jian& Chen, Sheng-yong& Xiao, Gang& Li, Xiao-Li. Multimodal Spatial Calibration for Accurately Registering EEG Sensor Positions. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-501180
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501180