How can non-invasive helmet-based assisted breathing data be collected and used to assess the health of a patient? Tully will design new material and lab equipment for this seminar in computational physics to teach students how respiratory monitoring is used, how to build these systems with inexpensive, readily available components, and how to implement Python computing methods and network solutions to provide clinicians the tools they need to rapidly respond to the respiratory conditions of COVID-19 patients. This course will provide a platform for students to think about their role in a pandemic and how what they learn in class can empower them to action on behalf of those that need help in times of crisis.
