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

University
University of California Davis
Goals
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
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.
Tools and Methods
Interface design for wireless data transmission
computer modeling
data analysis
designing ananlysis algorithms
Passive ionisation
dealing with sensirive patrient data
Desired Majors
Computer Engineering
Mechanical Engineering
Physiology
Biomedical Engineering
Psychology
Prep
Students interested in designing wreless data collection hardware and software, data analytics, alogorithm design, and statistics. Engineering and computer programming background will be beneficial.