COVID Vital Sign Study

Presenter(s): Ivan Goryachev and Gregory Ely, MechE Grad students

Zoom: https://mit.zoom.us/j/97979972940

Abstract:

COVID-19 infection is commonly accompanied by several vital sign changes, including body temperature, heart rate, respiration rate, and blood oxygen level. Several studies have shown that subtle changes in vital signs can precede symptom onset of COVID-19, allowing for the possibility of an early warning. Such a warning can suggest a self-isolation protocol to help mitigate infection spread. The COVID Surveillance Study is enrolling students to participate in vital sign data collection using wearable devices and self-service non-contact kiosks. Data collected will be used to create a baseline for each participant, and, combined with COVID-19 swab testing results, analyzed for changes during the course of infection. This study tracks more parameters than previous studies and aims to yield more information about physiological changes that can be used for early detection. Future applications of the used hardware include lifestyle studies and non-contact sensor and algorithm development.

Bio(s):

Gregory Ely

Gregory Ely completed his PhD in geophysics at the MIT studying global optimization methods for seismic imaging and using Bayesian inference to quantity uncertainty of seismic velocity model.. He is currently interested in applying techniques from seismology to medical ultrasound and uncertainty quantification to imaging problems.

Ivan Goryachev

Ivan is an S.M. student in Mechanical Engineering at MIT, with a BSME from Northeastern. Prior to joining MIT, Ivan worked at design firms, Tesla, and was part of the founding team at Sparx Hockey. He has experience in machine design, manufacturing, and industrial design.