This study aimed to assess the synchronization between a new respiratory video-based motion monitor and the spontaneous breathing of premature infants on noninvasive mechanical ventilation. The experimental setup involved placing a tag on the infant’s chest and abdomen, capturing their breathing with a camera, and comparing the video data with the ventilator's readings. The video monitor proved more accurate than the respirator, detecting 93.3% of respiratory movements versus 73.2% by the respirator. The video also detected the onset of breathing earlier than the respirator. The video monitor showed good precision and potential clinical benefits for premature infants, offering a noninvasive, cost-effective alternative for respiratory monitoring. Further studies are needed to refine its performance in various settings.

Smart cities can generate a lot of useful data for analyzing behavior and infrastructures, helping with urban planning. However, the applications found are often limited to desktop viewing only, which can hinder or restrict data analysis. This work proposes an immersive data visualization of the population of medical centers to assist in the analysis and development of new strategies to deal with overcrowding situations. The prototype allows the visualization of crowd data located in places of interest on top of a 3D map. The user can view the number of people present at the location at the current stage of the simulation or over time. To test the prototype, data from an infectious disease simulator was used, called LODUS. The results showed that the application has potential for visualizing this type of data.

This study investigates the utilization of low-cost three-dimensional visualization devices., specifically virtual reality applications on smartphones., to enhance radiological diagnosis processes. Radiology., a critical field in medicine., often faces challenges such as external illumination and poor ergonomic conditions during diagnostic procedures. Virtual reality technology has emerged as a potential solution to address these issues. The research conducted user studies with radiologists and medical physicists to assess the effectiveness and usability of the virtual reality application. Feedback from participants indicated positive perceptions of the virtual environment., 3D model quality., and interaction with the application. The study also evaluated geometric transformations on the 3D model, highlighting the importance of user-friendly controls. Overall, the findings suggest that virtual reality technology on smartphones holds promise in supporting radiological diagnosis by providing an immersive and efficient tool for medical professionals.

This article describes a framework for modeling and executing training in augmented and virtual reality environments. The framework was designed based on characteristics observed in existing training applications for complex tasks, such as the use of tools, control panels and the need for step-by-step instructions. Unlike other frameworks, in the proposed system, it is possible to create the training entirely within the virtual/augmented environment, avoiding constant switching between 2D and 3D environments. The framework allows for the definition of steps in a training program, each of which includes textual instructions, videos, and 3D objects, static or animated, anchored in the real world. To demonstrate the capabilities of the framework, a training program for operating a Universal Testing Machine was created as a case study. Overall, the proposed framework allows for the creation of effective and efficient AR training programs for a variety of tasks and industries.