BIOMEDITSINA SIGNALLARI VA TIBBIY TASVIRLARGA RAQAMLI ISHLOV BERISHNING ILG‘OR USULLARINI TADQIQ QILISH

Аннотация

Mazkur maqola tibbiy diagnostika jarayonlarini takomillashtirish uchun biomeditsina signallari va tasvirlariga ishlov berishda zamonaviy raqamli texnologiyalarni tadqiq qilishga bag‘ishlangan. Tadqiqotda Xaar veyvlet, Dobeshi veyvlet va splayn funksiyalari asosida tahlil usullari o‘rganilgan. Ushbu usullar EEG (elektroensefalografiya), gastroenterologik signallar va qon tasvirlarini qayta ishlashda qo‘llanilib, diagnostika aniqligi va samaradorligini oshirishda an’anaviy usullarga nisbatan ustunlik ko‘rsatgan. Kalit so‘zlar: Xaar veyvlet, Dobeshi veyvlet, splayn funksiyalari, biomeditsina signallari, tibbiy tasvirlar, diagnostika aniqligi, interpolatsiya. Annotation This article focuses on exploring advanced digital processing methods for biomedical signals and medical images to enhance diagnostic procedures. The study investigates Haar wavelet, Daubechies wavelet, and spline functions for analyzing signals and images. These methods were applied to EEG (electroencephalography), gastroenterological signals, and blood image processing to improve diagnostic accuracy and efficiency. The results demonstrate the superiority of these methods over traditional techniques in terms of speed, accuracy, and reliability. Keywords: Haar wavelet, Daubechies wavelet, spline functions, biomedical signals, medical images, diagnostic accuracy, interpolation.