Agnieszka Szczęsna

About

Agnieszka Szczęsna is an Associate Professor at Silesian University of Technology, Poland. Her research focuses on deep learning applications in chaos detection, biomedical time signal analysis, and motion assessment in post-stroke rehabilitation. She has contributed to significant advancements in detecting chaotic signals and refining datasets for improved classification. Her recent work includes innovative studies in motion trajectory recreation and heart rate estimation using advanced modeling techniques.