The overarching goal of this work is to research multi-disciplinary approaches to the analysis of significant changes in time series measurements, relevant for occupational health scenarios, by incorporating contemporary methods from the fields of sensor development and data analytics.  Significant changes in environmental (e.g., particulate matter, chemical hazards) and physiological measurements (e.g., heart rate, core body temperature) can be viewed retrospectively to assess the significance of an intervention, or prospectively which can lead to technologies for real-time feedback mechanisms or alert systems to prompt implementation of controls.  This interdisciplinary and translational project also aims to increase the diffusion of innovation of methodologies for analysis of dependent data into the practice of occupational health.  

This project is funded by the National Institute for Occupational Safety and Health.