This track focuses on the latest innovations in biomechanics that enhance rehabilitation processes. It aims to explore how biomechanical principles can be applied to improve patient outcomes in rehabilitation engineering.

This session will delve into the application of predictive modeling techniques in biomedical engineering. Participants will discuss methodologies that enhance the accuracy of predictions in patient care and treatment outcomes.

This track examines the integration of supervised and unsupervised learning techniques in biomechanics research. Emphasis will be placed on how these methodologies can facilitate the analysis of complex biomechanical data.

This session will explore the role of anomaly detection in ensuring the reliability of biomedical systems. Discussions will focus on techniques that identify deviations from expected performance in rehabilitation technologies.

This track addresses advanced feature extraction methods used in the analysis of human motion. Participants will share insights on how these techniques can enhance the understanding of biomechanics in various applications.

This session focuses on the automation of workflows in rehabilitation engineering to improve efficiency and effectiveness. Discussions will include the integration of digital tools and systems for streamlined processes.