Real-Time Data Analytics for the Assessment of Pathologic Patient-Ventilator Interactions.


This project focuses on the development of a scalable and low-cost data acquisition and analytics environment to advance capabilities for informed decision-making of patients on mechanical ventilation in the ICU

Issues Involved or Addressed

The project involves the development of a generalizable peripheral interface for secure, wireless transmission of de-identified physiologic waveform data from a mechanical ventilator to a data repository as well as the development and validation of signal analysis and event capture tools to allow quantitative analysis of de-identified ventilator data. Students will deal with real patient data analysis, design new analysis algorithms, optimize data collection protocols, and correlate data with patient health and condition.

Methods and Technologies

  • Interface design for wireless data transmission
  • computer modeling
  • data analysis
  • designing ananlysis algorithms
  • Passive ionisation
  • dealing with sensirive patrient data

Academic Majors of Interest

  • Computer Engineering
  • Mechanical Engineering
  • Physiology
  • Biomedical Engineering
  • Psychology

Preferred Interests and Preparation

Students interested in designing wreless data collection hardware and software, data analytics, alogorithm design, and statistics. Engineering and computer programming background will be beneficial.

Team Advisors