Evidence map›Paper›PMID 38669494›Full record

ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2024

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

Sung-Phil Heo, Hojong Choi, Yeon-Mo Yang

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Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Sung-Phil HeoDepartment of Information and Telecommunication Engineering, Gangneung-Wonju National University, Wonju, Korea.
Hojong ChoiDepartment of Electronic Engineering, Gachon University, Seongnam, Korea.
Yeon-Mo YangSchool of Electronic Engineering, Kumoh National Institute of Technology, Gumi, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

objectiveA 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.

methodsUsing 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.

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

conclusionThis 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.

Indexed as

Brain-Computer InterfacesAlgorithmsComputer SimulationHumansbrain computer interfaceRouth-HurwitzStability approachstandard criterion methodsystem stability

Identifiers

PMID38669494
PMCPMC11191471

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