International Conference on Biomedical Engineering for Neurorehabilitation (ICBENR - 26)

This track focuses on the latest technological innovations in neurorehabilitation, emphasizing the role of biomedical engineering in enhancing recovery outcomes. Contributions may include novel rehabilitation devices, assistive technologies, and their integration into clinical practice.

This session will explore the application of predictive modeling techniques in neurorehabilitation, including supervised and unsupervised learning approaches. Papers should address how these models can enhance patient outcomes and optimize rehabilitation protocols.

This track invites contributions that investigate the use of deep learning algorithms in biomedical engineering, particularly in the context of neurorehabilitation. Topics may include feature extraction, anomaly detection, and model evaluation.

This session will discuss the integration of workflow automation in rehabilitation settings, focusing on system monitoring and process optimization. Papers should highlight case studies or frameworks that demonstrate improved efficiency and patient care.

This track examines the role of Industrial Internet of Things (IoT) technologies in neurorehabilitation, including their potential for predictive maintenance and real-time monitoring of rehabilitation devices. Contributions should explore the challenges and solutions associated with IoT integration.

This session will focus on the application of digital twin technologies in the field of neurorehabilitation, exploring how virtual models can enhance treatment planning and patient monitoring. Papers should discuss methodologies for creating and utilizing digital twins in clinical settings.

This track invites papers that investigate the use of simulation and analytics to improve rehabilitation strategies and patient outcomes. Contributions may include case studies, theoretical frameworks, and empirical research on the effectiveness of these approaches.

This session will explore the intersection of neuroplasticity research and rehabilitation engineering, focusing on how engineering solutions can facilitate neural recovery. Papers should address innovative approaches that leverage neuroplasticity principles in rehabilitation practices.

This track focuses on the challenges and solutions related to system integration in neurorehabilitation technologies. Contributions should highlight interdisciplinary approaches that enhance the functionality and effectiveness of rehabilitation systems.

This session will highlight the development and application of assistive technologies designed to support individuals undergoing neurorehabilitation. Papers should discuss design considerations, user experiences, and clinical outcomes associated with these technologies.

This track invites discussions on the ethical implications of biomedical engineering practices in neurorehabilitation. Contributions should address topics such as patient consent, data privacy, and the societal impact of emerging technologies.