International Conference on Rehabilitation Engineering and Assistive Technology
(ICREAT-27)

This track focuses on the latest innovations in rehabilitation engineering, emphasizing the integration of technology in therapeutic practices. Participants will explore case studies and emerging tools that enhance patient recovery and mobility.

This session will delve into the development and application of assistive technologies that facilitate mobility for individuals with disabilities. Discussions will include the design of devices such as wheelchairs, prosthetics, and exoskeletons.

This track examines the role of predictive modeling techniques in anticipating patient outcomes and optimizing rehabilitation protocols. Participants will discuss methodologies such as supervised and unsupervised learning in clinical settings.

This session highlights the transformative impact of deep learning algorithms in biomedical engineering, particularly in areas such as image analysis and patient monitoring. Attendees will learn about the latest research and applications that improve diagnostic accuracy.

This track addresses the importance of anomaly detection in the monitoring of assistive technologies and rehabilitation devices. Participants will explore techniques for identifying and mitigating potential failures in real-time systems.

This session focuses on advanced feature extraction methods used in human motion analysis to enhance the understanding of movement patterns. Researchers will present their findings on how these techniques contribute to improved rehabilitation outcomes.

This track explores the integration of workflow automation in rehabilitation engineering to streamline processes and improve efficiency. Discussions will cover system monitoring and the implementation of automated solutions in clinical environments.

This session examines the application of Industrial Internet of Things (IoT) technologies in rehabilitation engineering. Participants will discuss how IoT can enhance device connectivity, data collection, and patient monitoring.

This track investigates the use of digital twin technologies in the healthcare sector, particularly in rehabilitation engineering. Attendees will learn about the potential of digital twins to simulate patient interactions with assistive devices.

This session focuses on the latest advancements in the design and functionality of prosthetics and exoskeletons. Researchers will share innovative approaches that enhance user experience and improve rehabilitation outcomes.

This track highlights the role of simulation and analytics in optimizing rehabilitation engineering processes. Participants will explore how these tools can be utilized for process optimization and predictive maintenance in clinical settings.