FURI | Fall 2023

Using Biomechanical and Physiological Parameters as a Predictive Model for Negative Postsurgical Outcomes

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The study will use three objective measurements (speed, posture, and heart rate variability) to make a model that allows for a short-term prediction of the consequences following a canine spay or neuter surgery. These consequences will be called negative post-surgical outcomes which include death and illness. The researchers posit that change in these movement variability parameters will be closely related to frailty and instability and these measures will be quantifiable using nonlinear dynamics and the theory of Chaos. The study will use a controlled designated pathway in which measurements, from eligible shelter dogs at an animal shelter, will be collected.

Student researcher

Angelo La Rosa

Biomedical engineering

Hometown: Phoenix, Arizona, United States

Graduation date: Spring 2025