Emilie Ismailova

My research focuses on biomedical signal processing, with a particular emphasis on the analysis and classification of intramuscular electromyography data. I apply advanced spectral methods, such as wavelet transform, to extract meaningful features from complex biomedical signals. I use deep neural networks for EMG data classification. My goal is to contribute to the development of improved diagnostic tools and therapeutic approaches. With a background in engineering and mechanics, I bring a multidisciplinary perspective to my work, driving innovation at the intersection of biomedicine and machine learning.