Meghan Hegarty-Craver is a biomedical research engineer specializing in signal processing for wearable sensors, extracting heart rate and heart rate variability metrics from electrocardiogram (ECG) and photoplethysmogram (PPG)-based sensors, and engineering for machine learning model development.
Currently, Dr. Hegarty-Craver is working on the Human-Based Sensor System for Presymptomatic Biological Exposure Detection project, funded by the Defense Advanced Research Projects Agency. In this initiative, RTI leverages data from wearable sensors like smartwatches to identify changes in health statuses related to viral infections. Dr. Hegarty-Craver is also involved in a project to identify improved aerosol systems tests that better quantify the level of protection offered by chemical protective clothing. She is skilled in Matlab and Python.
Before joining RTI in 2014, Dr. Hegarty-Craver worked as a graduate research assistant at North Carolina State University. In this role, she was a part of projects like evaluating wearable sensors for physiological monitoring, characterizing the material properties of compression hosiery, and developing test standards for the medical compression industry.
