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Quantitative evaluation of pressure dynamics in a chronic sheep study
A computer vision algorithm has been written that estimates the posture of sheep, extrapolates body angles, and synchronizes with concurrently acquired pressure data. However, this algorithm requires improvements to its performance capacity to better validate results.
Keywords: Machine Learning
Computer Vision
Biomedical Engineering
Signal Processing
With the end goal of the design of an actively controlled "SmartShunt", the hydrocephalus project aims to further illuminate how the cerebrospinal space not only interacts with different branches, but also the bidirectional interactions with other physiologic components of the body. We are conducting chronic sheep studies to acquire quantitative data on how posture relates to dynamic changes in physiologic pressures. A transfer-learning based computer vision algorithm has been written to estimate posture, extrapolate angles, and synchronize this postural data to simultaneously acquired pressure data.
With the end goal of the design of an actively controlled "SmartShunt", the hydrocephalus project aims to further illuminate how the cerebrospinal space not only interacts with different branches, but also the bidirectional interactions with other physiologic components of the body. We are conducting chronic sheep studies to acquire quantitative data on how posture relates to dynamic changes in physiologic pressures. A transfer-learning based computer vision algorithm has been written to estimate posture, extrapolate angles, and synchronize this postural data to simultaneously acquired pressure data.
1. Improve the performance capacity of the computer vision algorithm
2. Use the data acquired from the algorithm to analyze the data to be able to make statements regarding the pose/pressure relationship in our subjects.
1. Improve the performance capacity of the computer vision algorithm
2. Use the data acquired from the algorithm to analyze the data to be able to make statements regarding the pose/pressure relationship in our subjects.
1. Knowledge of computer vision methodology 2. Proficient in Python and the command line environment 3. Self-motivated and ability to work in a very interdisciplinary team setting 4. Comfortable working within an in-vivo animal trial setting
The chair of Product Development and Engineering Design at ETH Zurich considers itself a center for system-oriented product development and innovation. Our aspiration consists on the one hand of the advancement and investigation of methods and processes of product development and on the other hand of the development of new technical systems. The purpose of our daily work is to contribute to the innovative ability and competitiveness of Switzerland.
The chair of Product Development and Engineering Design at ETH Zurich considers itself a center for system-oriented product development and innovation. Our aspiration consists on the one hand of the advancement and investigation of methods and processes of product development and on the other hand of the development of new technical systems. The purpose of our daily work is to contribute to the innovative ability and competitiveness of Switzerland.
1. Work in a interdiscpinary team of clinicians and engineers on a large-scale project with wide-reaching implications. 2. Learn about how large, multi-institutional projects operate efficienty. 3. Be a part of creating a new medical device