Literature DB >> 29204789

A Preliminary Study on Precision Image Guidance for Electrode Placement in an EEG Study.

Sangseo Jeon1, Jongho Chien1, Chanho Song1, Jaesung Hong2.   

Abstract

Conventional methods for positioning electroencephalography electrodes according to the international 10/20 system are based on the manual identification of the principal 10/20 landmarks via visual inspection and palpation, inducing intersession variations in their determined locations due to structural ambiguity or poor visibility. To address the variation issue, we propose an image guidance system for precision electrode placement. Following the electrode placement according to the 10/20 system, affixed electrodes are laser-scanned together with the facial surface. For subsequent procedures, the laser scan is conducted likewise after positioning the electrodes in an arbitrary manner, and following the measurement of fiducial electrode locations, frame matching is performed to determine a transformation from the coordinate frame of the position tracker to that of the laser-scanned image. Finally, by registering the intra-procedural scan of the facial surface to the reference scan, the current tracking data of the electrodes can be visualized relative to the reference goal positions without manually measuring the four principal landmarks for each trial. The experimental results confirmed that use of the electrode navigation system significantly improved the electrode placement precision compared to the conventional 10/20 system (p < 0.005). The proposed system showed the possibility of precise image-guided electrode placement as an alternative to the conventional manual 10/20 system.

Keywords:  EEG electrode placement; Electroencephalography (EEG); International 10/20 system; Landmark identification; Navigation; Registration

Mesh:

Year:  2017        PMID: 29204789     DOI: 10.1007/s10548-017-0610-y

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  4 in total

1.  Augmented reality-based electrode guidance system for reliable electroencephalography.

Authors:  Chanho Song; Sangseo Jeon; Seongpung Lee; Ho-Gun Ha; Jonghyun Kim; Jaesung Hong
Journal:  Biomed Eng Online       Date:  2018-05-24       Impact factor: 2.819

2.  Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications.

Authors:  Hermann Hinrichs; Michael Scholz; Anne Katrin Baum; Julia W Y Kam; Robert T Knight; Hans-Jochen Heinze
Journal:  Sci Rep       Date:  2020-03-23       Impact factor: 4.379

3.  Self-Abrading Servo Electrode Helmet for Electrical Impedance Tomography.

Authors:  James Avery; Brett Packham; Hwan Koo; Ben Hanson; David Holder
Journal:  Sensors (Basel)       Date:  2020-12-09       Impact factor: 3.576

Review 4.  EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities.

Authors:  Nazmi Sofian Suhaimi; James Mountstephens; Jason Teo
Journal:  Comput Intell Neurosci       Date:  2020-09-16
  4 in total

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