Equip students with the skills to acquire, process, and analyze biomedical signals such as ECG, EEG, EMG, and blood pressure. Using interactive simulations, learners will explore signal collection from virtual patients, apply signal processing techniques, and interpret data for diagnosing medical conditions.
University / College
Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.
Explore the principles of structural analysis and the application of Finite Element Analysis (FEA) to evaluate and optimize engineering designs.
Explore the fundamentals of Magnetic Resonance Imaging (MRI) techniques and their critical role in radiography, supported by immersive XR-based simulations.
Explore the design and troubleshooting of motor control circuits used in industrial automation. In this simulation, students will virtually install and wire motor starters, relays, and control circuits for electric motors. They will program motor control systems, utilizing start/stop buttons, overload protection, and variable speed drives. The simulation offers real-time feedback on system performance, motor control accuracy, and troubleshooting techniques, enhanced with XR for an immersive learning experience.
Guide students in interpreting X-ray images to identify abnormalities, fractures, and conditions using XR-based tools for detailed analysis.
Immerse students in the management of chronic respiratory diseases such as COPD, asthma, cystic fibrosis, and pulmonary fibrosis. This simulation focuses on guiding patients through treatment techniques, breathing exercises, and lifestyle adjustments to improve long-term health outcomes.
The Signal Processing and Filtering Techniques module provides virtual tools and interactive exercises to teach students how to process and analyze electrical signals using both digital and analog filtering methods. Through hands-on simulations, students explore signal conditioning, transformation, and noise reduction techniques.
imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.
