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基于劳斯-赫尔维茨准则的新型脑机接口应用稳定性方法。

Novel stability approach using Routh-Hurwitz criterion for brain computer interface applications.

机构信息

Department of Information and Telecommunication Engineering, Gangneung-Wonju National University, Wonju, Korea.

Department of Electronic Engineering, Gachon University, Seongnam, Korea.

出版信息

Technol Health Care. 2024;32(S1):17-25. doi: 10.3233/THC-248002.

DOI:10.3233/THC-248002
PMID:38669494
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11191471/
Abstract

BACKGROUND

The stability criterion approach is very important for estimating precise behavior before or after fabricating brain computer interface system applications.

OBJECTIVE

A novel approach using the Routh-Hurwitz standard criterion method is proposed to easily determine and analyze the stability of brain computer interface system applications. Using this developed approach, we were able to easily test the stability of technical issue using simple programmed codes before or after brain computer interfaces fabrication applications.

METHODS

Using a MATLAB simulation program package, we are able to provide two different special case examples such as a first zero element and a row of zeros to verify the capability of our proposed Routh-Hurwitz method.

RESULTS

The MATLAB simulation program provided efficient Routh-Hurwitz standard criterion results by differentiating the highest coefficients of the s and a.

CONCLUSION

This technical paper explains how to use our proposed new Routh-Hurwitz standard condition to simply ascertain and determine the brain computer interface system stability without customized commercial simulation tools.

摘要

背景

稳定性判据方法对于估计脑机接口系统应用前后的精确行为非常重要。

目的

提出了一种使用劳斯-胡尔维茨标准判据方法的新方法,以便于确定和分析脑机接口系统应用的稳定性。使用这种开发的方法,我们可以在脑机接口制造应用之前或之后使用简单的编程代码轻松测试技术问题的稳定性。

方法

使用 MATLAB 仿真程序包,我们能够提供两个不同的特殊情况示例,例如第一个零元素和一行零,以验证我们提出的劳斯-胡尔维茨方法的能力。

结果

MATLAB 仿真程序通过区分 s 和 a 的最高系数提供了高效的劳斯-胡尔维茨标准判据结果。

结论

本文解释了如何使用我们提出的新劳斯-胡尔维茨标准条件,无需定制的商业仿真工具即可简单确定脑机接口系统的稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ee/11191471/871159d8e3d4/thc-32-thc248002-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ee/11191471/4f4ed7a37c77/thc-32-thc248002-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ee/11191471/7f24fd110f60/thc-32-thc248002-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ee/11191471/871159d8e3d4/thc-32-thc248002-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ee/11191471/4f4ed7a37c77/thc-32-thc248002-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ee/11191471/7f24fd110f60/thc-32-thc248002-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d1ee/11191471/871159d8e3d4/thc-32-thc248002-g003.jpg

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