2021
Winner

Athelas: Autonomous Vital-Measuring Using Biological Sensors and Vision Based Robotics

Presenter: Unnas Hussain

Research Category: Engineering and Technology
College: College of Engineering
Major(s): Computer Engineering, Computer Science
Graduation Date: 2021
Additional Authors: John Allen, Akhil Bagul, Kaylin Devchand, Christian Hardy
Award Winner Category: Engineering and Technology, People's Choice

Nurses/caregivers are trained to perform complex vital checks in accurate ways that require close contact with patients.The increase in close contact with patients while doing these checkups can also increase risk for both parties, especially if the patient is already at-risk (physically impaired, elderly, or otherwise reliant on others). Automation can help reduce the repetitive nature of these tasks, thereby alleviating the burdens on caregivers. Athelas, a vitals checking robotic arm, can perform medical assessments on the lungs, heart, body temperature, and pulse oxidation. Using Microsoft Common Objects in Common and NVIDIA hardware, a patientÕs position and orientation can be detected and analyzed. Efficient inverse kinematic algorithms are then used to move custom biological sensors to different areas on the patientÕs body for in depth data collection and analysis. The Athelas system can then perform routine (but necessary) health checks with minimal movement required by the patient, and simple commands from healthcare professionals. This system utilizes open source sensors that can be more functional and cost effective than the solutions. Combined with the autonomous nature of the testing, patient and caregiver contact will be greatly reduced and the entire vitals checking process can be automated to allow nurses and caregivers to spend more valuable time with their patients, rather than doing repetitive and tedious tasks.

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