Keywords
Abstract
Ushbu tadqiqot ishida sportchilarning mushak faoliyatini baholashda qo‘llaniladigan elektromiografik (EMG) signallarni raqamli qayta ishlash hamda ulardan informativ xususiyatlarni ajratib olish usullari tadqiq etiladi. EMG signallarini qayd etish jarayonida yuzaga keladigan shovqin va turli artefaktlarni kamaytirish, signallarni filtrlash, segmentlash va normallashtirish algoritmlariga alohida e’tibor qaratiladi. Shuningdek, vaqt sohasi, chastota sohasi hamda vaqt-chastota tahlili asosida EMG signallarining asosiy xususiyatlarini aniqlash usullari ko‘rib chiqiladi.
References
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4. Application of Surface Electromyography in Exercise Fatigue: A Review. Frontiers in Systems Neuroscience, 2022. Tadqiqotda RMS va iEMG ko‘rsatkichlaridan mushak faolligini, MF va MDF parametrlaridan esa mushak charchashini baholashda foydalanish imkoniyatlari tahlil qilingan.
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