<![CDATA[This study develops an intelligent ultrasound therapy system based on Fuzzy-PID for optimizing biological responses. Ultrasound therapy is used to accelerate tissue regeneration, reduce inflammation, and alleviate pain. Conventional systems with fixed frequencies are limited in adapting therapy to the biological conditions of the patient. The Fuzzy-PID system adjusts the ultrasound frequency based on the physiological conditions of the patient, such as tissue temperature and inflammation. The ESP32 microcontroller controls the system, with an LCD Nextion interface to adjust therapy parameters. Tests on material thickness, therapy duration, power consumption, and temperature were conducted to evaluate system performance. The results show that ultrasound waves penetrate rubber silicone at 1.5 mm and 3 mm well, but at 4.5 mm, the transmission decreases. In the time test, the Fuzzy-PID system showed errors of 6.11% at 60 seconds, 1.44% at 300 seconds, and 1% at 900 seconds, indicating good stability in therapy duration. The power test showed efficient consumption, with 2.7 W on standby and 7.6 W when both probes were active. The temperature test showed the system maintained a safe temperature, increasing from 31.3°C after 1 minute to 34.8°C after 5 minutes. The Fuzzy-PID system demonstrated stable and responsive performance compared to conventional PID, with high energy efficiency and good temperature management, making it an optimal solution for medical treatment.]]>
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