BedBasedEcho

BedBasedEcho

Haas, Joey (TU Delft Electrical Engineering, Mathematics and Computer Science)
Klazinga, Rembrandt (TU Delft Electrical Engineering, Mathematics and Computer Science)
van Stijn, Nick (TU Delft Electrical Engineering, Mathematics and Computer Science)
Teunissen, Jasper (TU Delft Electrical Engineering, Mathematics and Computer Science)
Zhang, Peter (TU Delft Electrical Engineering, Mathematics and Computer Science)

Loog, M. (mentor)
Ronner, Eelko (mentor)
Visser, O.W. (graduation committee)

Delft University of Technology

Computer Science and Engineering

Bachelor End Project

2020-07-15

The core challenge of the BedBasedEcho BEP project is to create an algorithm to find the heart, and apply it on a robotic echocardiography solution. The team has found multiple complex solutions that are related to this problem, and has extracted useful information from these solutions to apply to this problem. However, some of these complex solutions were too complex, causing the team to run out of physical resources, or to have the solution fail entirely. By taking a step back, and simplifying the solution, the team has managed to create a system that performs marginally better than the complex solutions. The designed product consists of three major components: the data gathering, the learning, and the deployment. When used in this order, the result is an algorithm that can predict which way it should move to gain the optimal view of the heart. The algorithm will be used as a component in a larger automated echocardiography system. Ultimately, the algorithm showed promise by autonomously finding a good view of the heart.

Med-Tech
Machine Learning
Robotics

http://resolver.tudelft.nl/uuid:a66514a4-2741-489a-af13-842f45f0783d

Student theses

bachelor thesis

© 2020 Joey Haas, Rembrandt Klazinga, Nick van Stijn, Jasper Teunissen, Peter Zhang