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

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

Sung-Phil Heo  1 , Hojong Choi  2 , Yeon-Mo Yang  3
Affiliations

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

Sung-Phil Heo et al. Technol Health Care. 2024.

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.

Keywords: Routh-Hurwitz; Stability approach; brain computer interface; standard criterion method; system stability.

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Conflict of interest statement

None to report.

Figures

Figure 1.
Figure 1.
A fundamental stable signal processing block diagram in brain computer interface systems.
Figure 2.
Figure 2.
(a) MATALB program codes for giving input into simulation program, (b) step to calculate and give Routh array process, and (c) step to check sign changes for the result.
Figure 3.
Figure 3.
Simulation results: giving input into the MATLAB simulation program for (a) the first column zero, and (b) row of zeros.
See this image and copyright information in PMC

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