Abstract
The electroencephalography (EEG) source imaging problem is very sensitive to the electrical modelling of the skull of the patient under examination. Unfortunately, the currently available EEG devices and their embedded software do not take this into account; instead, it is common to use a literature-based skull conductivity parameter. In this paper, we propose a statistical method based on the Bayesian approximation error approach to compensate for source imaging errors due to the unknown skull conductivity and, simultaneously, to compute a low-order estimate for the actual skull conductivity value. By using simulated EEG data that corresponds to focal source activity, we demonstrate the potential of the method to reconstruct the underlying focal sources and low-order errors induced by the unknown skull conductivity. Subsequently, the estimated errors are used to approximate the skull conductivity. The results indicate clear improvements in the source localization accuracy and feasible skull conductivity estimates.
| Original language | English |
|---|---|
| Title of host publication | 8th European Medical and Biological Engineering Conference - Proceedings of the EMBEC 2020 |
| Editors | Tomaz Jarm, Aleksandra Cvetkoska, Samo Mahnič-Kalamiza, Damijan Miklavcic |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 1019-1027 |
| Number of pages | 9 |
| ISBN (Print) | 9783030646097 |
| DOIs | |
| Publication status | Published - 1 Jan 2021 |
| Externally published | Yes |
| Event | 8th European Medical and Biological Engineering Conference, EMBEC 2020 - Portorož, Slovenia Duration: 29 Nov 2020 → 3 Dec 2020 |
Publication series
| Name | IFMBE Proceedings |
|---|---|
| Volume | 80 |
| ISSN (Print) | 1680-0737 |
| ISSN (Electronic) | 1433-9277 |
Conference
| Conference | 8th European Medical and Biological Engineering Conference, EMBEC 2020 |
|---|---|
| Country/Territory | Slovenia |
| City | Portorož |
| Period | 29/11/20 → 3/12/20 |
Bibliographical note
Publisher Copyright:© 2021, Springer Nature Switzerland AG.
Keywords
- Bayesian modelling
- Electroencephalography
- Inverse problem
- Skull conductivity
- Source imaging
ASJC Scopus subject areas
- Bioengineering
- Biomedical Engineering
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