FURI | Summer 2023
Using Measurements from Canine Gait, Heart Rate Variability, and Posture as a Predictive Model for Postoperative Spay or Neuter Surgical Outcomes
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