Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

A Simulation Method of Magnetic Treatment to Depressed Brain based on Chaotic Network

Authors
Yunchuan Huang, Yu Zhou, Huaze Tang
Corresponding Author
Yunchuan Huang
Available Online April 2019.
DOI
https://doi.org/10.2991/icmeit-19.2019.57How to use a DOI?
Keywords
chaotic network; simulation; electromagnetic stimulus; brain region.
Abstract
Chaotic neural network has a wide range of applications, especially in uncertain time-series prediction. Aihara Neural Network takes refractoriness into consideration and shows superiority in solution to TSP. The inspiration was from peers’ work on specifically targeted on deep brain by nanometre materials. We defined a complex system with 16 brain regions related to depression. Based on BOLD signals, we reconstructed the connectivity matrix and the parameters and applied modeled signals as irritation to specific region to provide a model prototype. The comparison between Power Spectral Entropy before and after irritation indicates the relation between physical irritation and curative effect. The results proved the obligation to implement multi-point treatment.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmeit-19.2019.57How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yunchuan Huang
AU  - Yu Zhou
AU  - Huaze Tang
PY  - 2019/04
DA  - 2019/04
TI  - A Simulation Method of Magnetic Treatment to Depressed Brain based on Chaotic Network
PB  - Atlantis Press
SP  - 343
EP  - 348
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.57
DO  - https://doi.org/10.2991/icmeit-19.2019.57
ID  - Huang2019/04
ER  -