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

Producción científica: Conference contribution › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	Brain Informatics - International Conference, BI 2018, Proceedings
Editores	Yang Yang, Vicky Yamamoto, Shouyi Wang, Erick Jones, Jianzhong Su, Tom Mitchell, Leon Iasemidis
Páginas	52-62
Número de páginas	11
DOI	https://doi.org/10.1007/978-3-030-05587-5_6
Estado	Published - 2018
Evento	International Conference on Brain Informatics, BI 2018 - Arlington, United States Duración: dic 7 2018 → dic 9 2018

Serie de la publicación

Nombre	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen	11309 LNAI
ISSN (versión impresa)	0302-9743
ISSN (versión digital)	1611-3349

Conference

Conference	International Conference on Brain Informatics, BI 2018
País/Territorio	United States
Ciudad	Arlington
Período	12/7/18 → 12/9/18

Nota bibliográfica

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Financiación

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.

Financiadores	Número del financiador
National Science Foundation Arctic Social Science Program	DMS-1818374, 1818374
National Science Foundation Arctic Social Science Program
Division of Mathematical Sciences

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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

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Qin, J., Wang, Y., & Liu, W. (2018). Current design with minimum error in transcranial direct current stimulation. En 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)).

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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.",

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Qin, J, Wang, Y & Liu, W 2018, Current design with minimum error in transcranial direct current stimulation. En 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).

Producción científica: Conference contribution › revisión exhaustiva

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AU - Qin, Jing

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PY - 2018

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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.

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KW - Human head model

KW - Multi-electrode stimulation

KW - Safety constraints

KW - transcranial Direct Current Stimulation (tDCS)

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Qin J, Wang Y, Liu W. Current design with minimum error in transcranial direct current stimulation. En Yang Y, Yamamoto V, Wang S, Jones E, Su J, Mitchell T, Iasemidis L, editores, 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

Resumen

Serie de la publicación

Conference

Nota bibliográfica

Financiación

ASJC Scopus subject areas

Acceder al documento

Otros archivos y enlaces

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