As a non-invasive brain stimulation technology, transcanial direct current stimulation (tDCS) has been recently attracting more and more attention in research and clinic applications due to its convenient implementation and modulation of the brain functionality. In this paper, we propose a novel multi-electrode tDCS current configuration model that minimizes the total error under the safety constraints. After rewriting the model as a linearly constrained minimization problem, we develop an efficient numerical algorithm based on the alternating direction method of multipliers (ADMM). Numerical experiments have shown the great potential of the proposed method in terms of accuracy and focality.
|Title of host publication||Brain Informatics - International Conference, BI 2018, Proceedings|
|Editors||Yang Yang, Vicky Yamamoto, Shouyi Wang, Erick Jones, Jianzhong Su, Tom Mitchell, Leon Iasemidis|
|Number of pages||11|
|State||Published - 2018|
|Event||International Conference on Brain Informatics, BI 2018 - Arlington, United States|
Duration: Dec 7 2018 → Dec 9 2018
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||International Conference on Brain Informatics, BI 2018|
|Period||12/7/18 → 12/9/18|
Bibliographical noteFunding Information:
The research of Jing Qin is supported by the NSF grant DMS-
The research of Jing Qin is supported by the NSF grant DMS-1818374.
© 2018, Springer Nature Switzerland AG.
- Alternating Direction Method of Multipliers (ADMM)
- Human head model
- Multi-electrode stimulation
- Safety constraints
- transcranial Direct Current Stimulation (tDCS)
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science (all)