Objectives: This DC project aims to characterize the dynamic airflow pattern and heat/mass transfer in surgical site microenvironment control in operating rooms. Expected Results: Gain fundamental knowledge of the airflow distribution and heat transfer in the microenvironment; Experimental measurement results of micro scale turbulent airflow velocity distribution; Models of heat/mass …
Objectives: to generate new knowledge of adaptable ventilation for improving environment and the performance of ventilation in hospital patient rooms considering the needs of patients and personal. Expected Results: Improved knowledge on heat and mass exchange between human body and surrounding and its efficient control (base on sophisticated measurements). Development …
Objectives: to develop methods and an instrument leveraging the unprecedented pace of technical progresses in esciences, namely use fluid simulations and augmented reality to make visible bacterial contamination. Expected Results: Gain fundamental knowledge of both airflow and contaminant distribution; Model validation and propose the most relevant boundary setups for an …
Objectives: to develop augmented reality platform for visualizing dynamic volumetric data such as airborne contaminants based on a grid of point-wise measurements. Expected Results: Increased awareness among medical personnel related to airborne particle contamination; A visualization framework for augmented and virtual reality devices that can visualize a complex 3D fields …
Objectives: to develop a tool for real-time analysis of the dynamic airflow in operating rooms using a limited set of measurements. Expected Results: Validated low-order models for the airflow within operating rooms and healthcare facilities. Active strategies to improve air quality, based on the developed models. Improve the knowledge of …
Objectives: To develop physical models able to identify and quantitate Aspergillus spores concentration in hospital air. To understand and standardize the correlation between airborne particles and Aspergillus concentration in indoor air. To define the airborne microorganisms’ distribution in hybrid operating rooms. Expected Results: Acquisition of a large dataset including particles …
Objectives: The project aims to develop a web-based system to allow monitoring of indoor air quality conditions in health care units focused on the concentration of airborne pathogens. Expected Results: Acquisition of a large dataset including data about indoor air quality, outdoor air quality. Understanding of health risks due to …
Objectives: This research project aims to establish new data to describe the dispersion of airborne microorganisms from healthcare activities and incorporate it into a computational model to carry out exposure risk assessments. Expected Results: An experimental protocol for characterizing microbial sources in a chamber environment; A set of experimentally derived …
On the first of January 2024, we began our adventure together as part of the HumanIC project.Over the next 4 years, we will strive to train great professionals, researchers who will have a deep understanding of the complex processes in healthcare facilities and who, in the years to come, will …
