Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Vol 14 No 4: November 2025

Penerapan Kendali Fuzzy dalam Pengembangan Stimulasi Listrik untuk Mempercepat Penyembuhan Luka

Rahmawati (Unknown)
Achmad Arifin (Unknown)
Duti Sriwati Aziz (Unknown)
Gunawan (Unknown)
Raisah Hayati (Unknown)
Siti Amra (Unknown)



Article Info

Publish Date
28 Nov 2025

Abstract

Chronic wound healing remains a clinical challenge due to the limited capacity of conventional therapies to accelerate tissue regeneration. Electrical stimulation (ES) offers a promising therapeutic modality; however, open-loop ES cannot adaptively adjust therapy duration. This study developed a closed-loop ES system incorporating fuzzy controller to dynamically regulate stimulation duration based on wound progression. The method integrates an Atmega32-based ES platform, fuzzy controller algorithms, and preclinical testing on guinea pigs. The ES system operates at a frequency of 20 Hz, a pulse width of 250 µs, and an output voltage of 50 V. The fuzzy controller adjusts stimulation duration within a range of 15–45 minutes according to the difference between the actual and target wound areas, achieving an estimation error of 0.3%. Preclinical evaluations compared the therapeutic effectiveness of closed-loop ES, open-loop ES, and no-ES conditions. Wound-area reduction over seven days in the closed-loop group reached 64–67%, higher than the open-loop (44–50%) and no-therapy (47%) groups. Closed-loop therapy also produced the highest tissue-density outcomes (75–100%), exceeding those of the open-loop (50%) and no-therapy (25–50%) groups. The fuzzy-controlled closed-loop ES accelerated tissue regeneration by approximately 1.5–2 times compared to open-loop and no-therapy conditions. Effectiveness rankings showed the closed-loop system achieving the highest scores (0.90 and 1.00), outperforming the open-loop (0.61) and no-therapy (0.51) groups. These findings indicate that fuzzy-controlled closed-loop ES provides superior wound-healing performance compared to conventional approaches, offering a more adaptive and precise therapeutic strategy with potential for broader medical application.

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Journal Info

Abbrev

JNTETI

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

Description

Topics cover the fields of (but not limited to): 1. Information Technology: Software Engineering, Knowledge and Data Mining, Multimedia Technologies, Mobile Computing, Parallel/Distributed Computing, Artificial Intelligence, Computer Graphics, Virtual Reality 2. Power Systems: Power Generation, ...