 Sensory-Motor Systems LabOpen OpportunitiesGait patterns in multiple impairments present unique and complex patterns, which hinders the proper quantitative assessment of the walking ability for chronic ambulatory conditions when translated to daily living. In this project, we will focus on finding clusters of gait patterns through unsupervised learning from a large dataset of incomplete spinal cord injury individuals. The goal is to investigate hidden patterns in relation to the type of injuries and find their application for future diagnosis and rehabilitation treatment.
Your work will guide future rehabilitation methods in general clinical practice, through applied classification and dimensionality reduction in Biomechanics of walking.
Goal: Develop an unsupervised clustering pipeline for a large dataset of gait patterns from spinal cord injured individuals for class similarity evaluation
- Engineering and Technology, Expert Systems, Medical and Health Sciences, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- Bachelor Thesis, ETH Organization's Labels (ETHZ), Internship, Master Thesis, Semester Project
| This hands-on work (internship or semester project) within a clinical setting will bring you close to intelligent health management while exploring multiple data systems. You will experience multimodal data of robotics rehabilitation, general clinical practice, and detailed clinical studies applied in classification and dimensionality reduction. - Computer Vision, Computer-Human Interaction, Engineering and Technology, Expert Systems, Information Systems Development Methodologies, Information Systems Management, Intelligent Robotics, Interfaces and Presentation, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing
- Bachelor Thesis, Internship, Master Thesis, Semester Project, Student Assistant / HiWi
| At present, no optimum solution present commercially or in published research that can provide a method for accurate, long term, non-invasive and unobtrusive bladder monitoring. In this project, the student will develop a multi-sensor system based on novel sensors and incorporate state of the art, sensor fusion algorithms to enable non-invasive bladder volume measurements for the SCI population to be tested in collaboration with the SCAI-Lab (ETHZ / SPZ) in Nottwil.
The Main Host Place will be: Center for Project-Based Learningat D_ITET - Biomedical Engineering, Electrical and Electronic Engineering, Industrial Biotechnology and Food Sciences, Interdisciplinary Engineering
- Bachelor Thesis, ETH Organization's Labels (ETHZ), Internship, Master Thesis, Semester Project
| Cartilage damage in the knee joint can be caused by aging or repetitive actions. It can be treated by surgically removing the damaged cartilage tissue and filling the generated defect with a precisely shaped, healthy cartilage graft. Nowadays, defect preparation is commonly performed using surgical curettes, which has several drawbacks. We are investigating the use of laser ablation for more precise, controlled, and contactless tissue preparation. A workflow and container for sterile laser ablation of tissue has been designed and validated. However, several limitations have been identified. Your task will be to design and manufacture a new sterile ablation container addressing these issues, to adapt the overall sterile ablation workflow, and to validate your design in a sterile laser ablation experiment. - Biomedical Engineering, Mechanical Engineering
- Master Thesis
| Cartilage damage in the knee joint can be caused by aging or repetitive actions. It can be treated by surgically removing the damaged cartilage tissue and filling the generated defect with a precisely shaped, healthy cartilage graft. Removing the defected cartilage is commonly done with surgical curettes. We are investigating the use of laser ablation for a more precise defect preparation process. With two different lasers, we managed to obain promising results regarding cell viability in live samples. However, laser parameters such as pulse frequency and energy need to be optimized towards higher cutting efficiency. Your task will be to prepare a setup to test, optimize, and validate various parameter sets using different lasers for articular cartilage ablation. - Biomedical Engineering, Optical Physics
- Master Thesis
| Intermittent partial or complete obstruction of the upper airways during the night can lead to serious health issues. In most cases, these obstructions are caused by gravitational forces in supine position that act on relaxed throat tissue. Conventional ways of preventing airway obstructions include appliances that make sleeping in supine position uncomfortable or non-invasive ventilators that apply non-physiological continuous positive airway pressures to keep the airways open. We have developed three specialized robotic beds that are capable of detecting partial or full airway obstructions and can apply position changes, thereby aiming to treat airway obstruction. Tunable parameters include angle and duration from intervention onset to intervention completion (“speed”), as well as rocking frequencies and accelerations. Selecting the parameters in a way that they provide an effective intervention without causing arousals / awakenings during the night is key. - Primary Health Care, Respiratory Diseases, Therapies and Therapeutic Technology
- Bachelor Thesis, Internship, Lab Practice, Master Thesis, Semester Project
| The goal of this thesis project is to develop attachment mechanisms for the miniature robot to allow accurate laser cutting of tissue. Choices of the attachment strategies are still open.
- Biomedical Engineering, Mechanical and Industrial Engineering
- Master Thesis
| Climbers train their finger strength on the campus board. If the forces at the bars are measured, performance analysis becomes possible. In a recent bachelor thesis, we designed an instrumentation for a campus board which should now be further developed to run first experiments in campus board training. - Engineering and Technology, Human Movement and Sports Science
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| This Master Thesis aims to develop an algorithm to classify different movements that could occur during sleep. Data is readily available from previous recordings but can be extended using additional measurements. - Engineering and Technology
- Master Thesis
| We are developing a teleoperated micro-assembly system. A core component is a force-sensitive micro-gripper. A first gripper prototype has been realized and evaluated. Your task will be to review and improve the current design and to implement automated object slippage detection. - Mechanical and Industrial Engineering, Robotics and Mechatronics
- Master Thesis
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