Team 25
Machine Learning Software for NASA Biometrics
Team Members:
Kristin Huber
Justin Irby
Karly Espinosa
Sam Skeete
Team Mentors:
Mr. Keith Tucker - NASA Johnson Space Center
Machine Learning Software for NASA Biometrics
Team Members:
Kristin Huber
Justin Irby
Karly Espinosa
Sam Skeete
Team Mentors:
Mr. Keith Tucker - NASA Johnson Space Center
Dr. Kimia Seyedmadani, PhD - NASA Johnson Space Center
Mr. Khalil Khoury - Department of Health, AZ
Mr. David Hope - DataRobot
YouTube Link:
View the video link below before joining the zoom meeting
Zoom Link:
https://asu.zoom.us/j/8641158253
Abstract
NASA needs a continuous, passive, non-invasive cardiovascular monitoring system for astronauts to better understand and combat the effects of missions to space on the cardiovascular system. NASA astronauts have been found to be at abnormal risk for arterial stiffening and other heart conditions, but research is difficult due to the small sample size. In order to expedite a monitoring process and accomplish the most with limited data, StarHeart Biometrics is developing a machine learning driven software to process the data and alert crew members and ground control if a medical emergency arises. The software will integrate with hardware that can produce measurements of heart rate, blood pressure, and partial pressure of oxygen. The project is being completed under a quality system approach with multiple design review teams ensuring quality at every step of the design process. Data simulation of the cardiovascular system at standard and stressed conditions (+/- 10%, +/- 20%, and +/- 30%) was utilized to train a ML algorithm for each scenario while prediction data was also generated for model testing. Canvassing and research will lead the project’s Support Vector Machine modeling platform to offer a platform excelling in usability, accuracy, and consistency. The product will be equipped to incorporate using Bluetooth and to process raw data in such a way that the output file size will be minimal and available within seconds. Using the constructed simulation to test the program for its processing time and accuracy will ensure our quality systems were used to meet all specifications set forth.
