Ultrasonic Therapy Device Using Fuzzy-Logic for Clinical Use

Fikret Yalçınkaya; Ata Sevinc; Hüseyin Aydilek; Ali Erbaş

doi:10.29137/umagd.1310831

EN TR

Ultrasonic Therapy Device Using Fuzzy-Logic for Clinical Use

Abstract

In this paper, an ultrasonic therapy device using fuzzy-logic(UTD-FL) has been designed, constructed and tested with phantom materials. Fuzzy-logic rules have been determined using four parameters. In clinical practice, ultrasonic therapy is conducted solely based on subjective evaluation of medical experts, but in UTD-FL, fuzzy-logic rules decide automatically the three critically important characteristic parameters of applicable output power to the patient, namely the power of the signal, the percent of the duty-cycle and the signal frequency. The signal frequency and specifically its amplitude have critical effect on the temperature rise of the tissue test-point or surface. Therefore the intensity of the ultrasonic frequency and the duration of treatment-time are absolutely vital, that is why this instrument has been developed. This instrument is expected to prevent possible side effects, injuries, and potential damages on real tissues due to experts’ uneasiness. The test results of this newly developed medical device have been compared with clinical-practice. The instrument produces optimum output power due to its fuzzy-logic rules based mode design, and IR-temperature sensor based feedback effect; whereas the clinical mode inputs only clinical experience base gained medical data.

Keywords

Ultrasonic Therapy Device , Fuzzy Logic , Clinical Mode , Fuzzy Mode , IR Temperature Sensor , Phantom Materials

Ultrasonic Therapy Device Using Fuzzy-Logic for Clinical Use

Öz

In this paper, an ultrasonic therapy device using fuzzy-logic(UTD-FL) has been designed, constructed and tested with phantom materials. Fuzzy-logic rules have been determined using four parameters. In clinical practice, ultrasonic therapy is conducted solely based on subjective evaluation of medical experts, but in UTD-FL, fuzzy-logic rules decide automatically the three critically important characteristic parameters of applicable output power to the patient, namely the power of the signal, the percent of the duty-cycle and the signal frequency. The signal frequency and specifically its amplitude have critical effect on the temperature rise of the tissue test-point or surface. Therefore the intensity of the ultrasonic frequency and the duration of treatment-time are absolutely vital, that is why this instrument has been developed. This instrument is expected to prevent possible side effects, injuries, and potential damages on real tissues due to experts’ uneasiness. The test results of this newly developed medical device have been compared with clinical-practice. The instrument produces optimum output power due to its fuzzy-logic rules based mode design, and IR-temperature sensor based feedback effect; whereas the clinical mode inputs only clinical experience base gained medical data.

Anahtar Kelimeler

Ultrasonic Therapy Device , Fuzzy Logic , Clinical Mode , Fuzzy Mode , IR Temperature Sensor , Phantom Materials

References

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Details

Primary Language

English

Subjects

Bioelectronic , Electronics , Electronic Device and System Performance Evaluation, Testing and Simulation , Electronic Instrumentation

Journal Section

Research Article

Authors

Fikret Yalçınkaya
0000-0001-6498-8589
Türkiye

Ata Sevinc
0000-0002-4273-7532
Türkiye

Hüseyin Aydilek
0000-0003-3051-4259
Türkiye

Ali Erbaş ^*
0000-0002-0082-6043
Türkiye

Early Pub Date

July 10, 2023

Publication Date

July 14, 2023

Submission Date

June 6, 2023

Acceptance Date

June 30, 2023

Published in Issue

Year 2023 Volume: 15 Number: 2

DOI

https://doi.org/10.29137/umagd.1310831

IZ

https://izlik.org/JA85PT87GK

APA

Yalçınkaya, F., Sevinc, A., Aydilek, H., & Erbaş, A. (2023). Ultrasonic Therapy Device Using Fuzzy-Logic for Clinical Use. International Journal of Engineering Research and Development, 15(2), 776-785. https://doi.org/10.29137/umagd.1310831

Cited By

Enhancing security in electromagnetic radiation therapy using fuzzy graph theory

Scientific Reports

https://doi.org/10.1038/s41598-025-98110-z

Kırıkkale University, Faculty of Engineering and Natural Science, 71450 Yahşihan / Kırıkkale, Türkiye.

ijerad@kku.edu.tr