Enhancing the Performance of Pressure Regulation via Genetic Algorithm (GA) for Negative Pressure Wound Therapy (NPWT) System

Tan Tian Swee; Jahanzeb Sheikh; Hira Zahid; Sidra Agha Abid; Muhammad Jawad Shafique; Maheza Irna Binti Salim; Ooi Jin Kiak; Muhammad Kashif Shaikh; Michael Loong Peng Tan

doi:10.11113/mjfas.v21n3.4226

Authors

Tan Tian Swee Department of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
Jahanzeb Sheikh ᵃDepartment of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia; ᵇDepartment of Biomedical Engineering, Sir Syed University of Engineering and Technology, Pakistan
Hira Zahid Department of Biomedical Engineering, Ziauddin University, Karachi, Pakistan
Sidra Agha Abid Department of Biomedical Engineering, Sir Syed University of Engineering and Technology, Pakistan
Muhammad Jawad Shafique Department of Biomedical Engineering, Sir Syed University of Engineering and Technology, Pakistan
Maheza Irna Binti Salim Department of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
Ooi Jin Kiak Department of Biomedical Engineering and Health Sciences, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
Muhammad Kashif Shaikh Department of Software Engineering, Sir Syed University of Engineering and Technology, Pakistan
Michael Loong Peng Tan Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia

DOI:

https://doi.org/10.11113/mjfas.v21n3.4226

Keywords:

Control system, fuzzy logic, genetic algorithm, negative pressure wound therapy.

Abstract

Hard-to-heal wounds, such as diabetic foot ulcers, have become a significant healthcare concern with the rising incidence of diabetes. Negative Pressure Wound Therapy (NPWT) has shown advantages over traditional wound management methods, but the classical NPWT controllers have issues with unstable pressure generation and occasional injury. To address this, fuzzy logic has been integrated into NPWT systems to enhance performance. However, fuzzy controllers have limitations due to uncertainty and inconsistency in system design. This study hybridizes a genetic algorithm (GA) with the fuzzy NPWT system to improve negative pressure regulation stability. Comparative performance evaluations showed that GA-fuzzy NPWT reduced the mean steady-state error by 56.60%, increased the rise time by 10.31%, and reduced overshoot by 4.92%. However, the integration of GA also led to an increase in standard deviation, improving accuracy but raising variability in the system.

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