Study of the effect of faradic current and rus current on muscle strength in patients diagnosed with knee osteoarthritis and its modeling in artificial intelligence
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2026
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Advisor: Doç. Dr. Ahmet Beyzade Demirpolat
Abstract (EN)
The aim of our study is to investigate the effect of applying faradic and Russian currents to the quadriceps femoris muscle on muscle strength in knee osteoarthritis and to model this effect using artificial intelligence. Fifty-six patients diagnosed with knee osteoarthritis were included in the study. The patients were randomized into two separate groups. The first group received warm packs, ultrasound, transcutaneous electrical nerve stimulation (TENS), and isometric quadriceps exercises, in addition to faradic current (faradic current group), while the second group received warm packs, ultrasound, TENS, and isometric quadriceps exercises, in addition to Russian current (Russian current group). All patients underwent treatment for 2 weeks, with 5 sessions per week. Quadriceps muscle strength values were measured using the Medical Research Council (MRC) Muscle Strength Scale, and pre- and post-treatment values were recorded. Measurements were taken in the faradic current (p=0.617) and Russian current groups (p = 0.872). The independent t-test showed no statistically significant difference between the two groups in terms of muscle strength change values after treatment (p = 1.00). Findings before and after treatment were modeled using Python artificial intelligence. Statistical tables and artificial intelligence modeling showed that both types of current were effective in increasing quadriceps muscle strength. It was observed that both currents, used in conjunction with physical therapy applications in knee osteoarthritis, had a positive effect on increasing muscle strength. Artificial intelligence modeling was found to be explanatory in terms of graphics, statistics, and visuals in alternative applications. The use of artificial intelligence in this and similar studies has been found to be effective in intergroup comparisons. KEYWORDS: Artificial intelligence, knee osteoarthritis, quadriceps muscle, electrical stimulation, faradic current, Russian current.
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Muhammed Perçin
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Muhammed Perçin (Master Thesis). Study of the effect of faradic current and rus current on muscle strength in patients diagnosed with knee osteoarthritis and its modeling in artificial intelligence, 2026, Malatya Turgut Özal University.
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