Current design with minimum error in transcranial direct current stimulation

Jing Qin; Yushan Wang; Wentai Liu

doi:10.1007/978-3-030-05587-5_6

Current design with minimum error in transcranial direct current stimulation

Jing Qin, Yushan Wang, Wentai Liu

Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
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
Pages	52-62
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-030-05587-5_6
State	Published - 2018
Event	International Conference on Brain Informatics, BI 2018 - Arlington, United States Duration: Dec 7 2018 → Dec 9 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11309 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Brain Informatics, BI 2018
Country/Territory	United States
City	Arlington
Period	12/7/18 → 12/9/18

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Funding

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.

Funders	Funder number
National Science Foundation Arctic Social Science Program	DMS-1818374, 1818374
National Science Foundation Arctic Social Science Program
Division of Mathematical Sciences

Keywords

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
General Computer Science

Access to Document

10.1007/978-3-030-05587-5_6

Cite this

Qin, J., Wang, Y., & Liu, W. (2018). Current design with minimum error in transcranial direct current stimulation. In Y. Yang, V. Yamamoto, S. Wang, E. Jones, J. Su, T. Mitchell, & L. Iasemidis (Eds.), Brain Informatics - International Conference, BI 2018, Proceedings (pp. 52-62). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11309 LNAI). https://doi.org/10.1007/978-3-030-05587-5_6

Qin, Jing ; Wang, Yushan ; Liu, Wentai. / Current design with minimum error in transcranial direct current stimulation. Brain Informatics - International Conference, BI 2018, Proceedings. editor / Yang Yang ; Vicky Yamamoto ; Shouyi Wang ; Erick Jones ; Jianzhong Su ; Tom Mitchell ; Leon Iasemidis. 2018. pp. 52-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{59b4248a69d04f48b30f9583eb581aae,

title = "Current design with minimum error in transcranial direct current stimulation",

abstract = "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.",

keywords = "Alternating Direction Method of Multipliers (ADMM), Human head model, Multi-electrode stimulation, Safety constraints, transcranial Direct Current Stimulation (tDCS)",

author = "Jing Qin and Yushan Wang and Wentai Liu",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; International Conference on Brain Informatics, BI 2018 ; Conference date: 07-12-2018 Through 09-12-2018",

year = "2018",

doi = "10.1007/978-3-030-05587-5_6",

language = "English",

isbn = "9783030055868",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "52--62",

editor = "Yang Yang and Vicky Yamamoto and Shouyi Wang and Erick Jones and Jianzhong Su and Tom Mitchell and Leon Iasemidis",

booktitle = "Brain Informatics - International Conference, BI 2018, Proceedings",

}

Qin, J, Wang, Y & Liu, W 2018, Current design with minimum error in transcranial direct current stimulation. in Y Yang, V Yamamoto, S Wang, E Jones, J Su, T Mitchell & L Iasemidis (eds), Brain Informatics - International Conference, BI 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11309 LNAI, pp. 52-62, International Conference on Brain Informatics, BI 2018, Arlington, United States, 12/7/18. https://doi.org/10.1007/978-3-030-05587-5_6

Current design with minimum error in transcranial direct current stimulation. / Qin, Jing; Wang, Yushan; Liu, Wentai.
Brain Informatics - International Conference, BI 2018, Proceedings. ed. / Yang Yang; Vicky Yamamoto; Shouyi Wang; Erick Jones; Jianzhong Su; Tom Mitchell; Leon Iasemidis. 2018. p. 52-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11309 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Current design with minimum error in transcranial direct current stimulation

AU - Qin, Jing

AU - Wang, Yushan

AU - Liu, Wentai

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Alternating Direction Method of Multipliers (ADMM)

KW - Human head model

KW - Multi-electrode stimulation

KW - Safety constraints

KW - transcranial Direct Current Stimulation (tDCS)

UR - http://www.scopus.com/inward/record.url?scp=85058561172&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058561172&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-05587-5_6

DO - 10.1007/978-3-030-05587-5_6

M3 - Conference contribution

AN - SCOPUS:85058561172

SN - 9783030055868

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 52

EP - 62

BT - Brain Informatics - International Conference, BI 2018, Proceedings

A2 - Yang, Yang

A2 - Yamamoto, Vicky

A2 - Wang, Shouyi

A2 - Jones, Erick

A2 - Su, Jianzhong

A2 - Mitchell, Tom

A2 - Iasemidis, Leon

T2 - International Conference on Brain Informatics, BI 2018

Y2 - 7 December 2018 through 9 December 2018

ER -

Qin J, Wang Y, Liu W. Current design with minimum error in transcranial direct current stimulation. In Yang Y, Yamamoto V, Wang S, Jones E, Su J, Mitchell T, Iasemidis L, editors, Brain Informatics - International Conference, BI 2018, Proceedings. 2018. p. 52-62. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-05587-5_6

Current design with minimum error in transcranial direct current stimulation

Abstract

Publication series

Conference

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this