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State Estimation Algorithm to Monitor Patient Recovery
State Estimation Algorithm to Monitor Patient Recovery
Project MOTIVATION
Project MOTIVATION
The goal of this project is to create a state estimation algorithm to enable activity level monitoring of post-operative cancer patients since patient activity level highly correlates with positive outcomes after surgery.
Using a Bayes Filter, we aim to estimate the state of recovering patients using accelerometer data. The 4 relevant states are:
Lying down
Sitting
Walking
Jogging
Demo
Demo
Check out this short demo video of team members Sidney Taylor, Amy Qian, and Kaanthi Pandhigunta collecting accelerometer data. The state estimation algorithm outputs their corresponding state at each time step using the real time Bayes Filter created in this project! See the Project Details page for more trial videos.
E205 Website Video.movPage updated
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