Loading...
Please wait, while we are loading the content...
Similar Documents
Advanced Boundary Electrode Modeling for tES and Parallel tES/EEG
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pursiainen, Sampsa Agsten, Britte Wagner, Sven Wolters, Carsten H. |
| Copyright Year | 2018 |
| Abstract | This paper explores advanced electrode modeling in the context of separate and parallel transcranial electrical stimulation (tES) and electroencephalography (EEG) measurements. We focus on boundary condition-based approaches that do not necessitate adding auxiliary elements, e.g., sponges, to the computational domain. In particular, we investigate the complete electrode model (CEM) which incorporates a detailed description of the skin-electrode interface including its contact surface, impedance, and normal current distribution. The CEM can be applied for both tES and EEG electrodes which are advantageous when a parallel system is used. In comparison to the CEM, we test two important reduced approaches: the gap model (GAP) and the point electrode model (PEM). We aim to find out the differences of these approaches for a realistic numerical setting based on the stimulation of the auditory cortex. The results obtained suggest, among other things, that GAP and GAP/PEM are sufficiently accurate for the practical application of tES and parallel tES/EEG, respectively. Differences between CEM and GAP were observed mainly in the skin compartment, where only CEM explains the heating effects characteristic to tES. |
| Starting Page | 37 |
| Ending Page | 44 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| DOI | 10.1109/TNSRE.2017.2748930 |
| PubMed reference number | 28961118 |
| Journal | Medline |
| Volume Number | 26 |
| Alternate Webpage(s) | https://arxiv.org/pdf/1608.05649v1.pdf |
| Alternate Webpage(s) | https://doi.org/10.1109/TNSRE.2017.2748930 |
| Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |